1. A generalizable deep learning system for cardiac MRI. Nat Biomed Eng. 2026 Mar 25. Shad R, Zakka C, Kaur D, Mathur M, Fong R, Cho J, Filice RW, Mongan J, Kallianos K, Khandwala N, Eng D, Leipzig M, Witschey WR, de Feria A, Ferrari VA, Ashley EA, Acker MA, Langlotz C, Hiesinger W. PMID: 41882174.

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  2. Advanced Prompting Techniques Informed by Clinical Expertise Improve the Accuracy of LLM Data Extraction but Increase Non-Determinism. J Imaging Inform Med. 2026 Mar 11. Wang Y, Cisneros AA, Stewart C, Malekhedayat M, Luong J, Smith-Bindman R, Mongan J. PMID: 41814072.

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  3. The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset. Radiol Artif Intell. 2026 Mar; 8(2):e250480. Richards TJ, Flanders AE, Colak E, Prevedello LM, Ball RL, Kitamura F, Mongan J, Vazirabad M, Lin HM, Kendell A, Kanthawang T, Angkurawaranon S, Altinmakas E, Dogan H, Kuriki PEA, Somasundaram A, Rushton C, Bulja D, Spahovic N, Sommer J, Jiang S, Farina EMJM, Caminha Nunes E, Brassil M, McNamara M, Ortiz J, Peoples J, Uytana VL, Kam A, Dola VNS, Murphy D, Vu D, Hakim A, Talbott JF, Dataset Contributor Group, Dataset Annotator Group, Competition Data Notebook and Curation Group. PMID: 41532835.

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  4. A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT images. Comput Med Imaging Graph. 2026 Feb; 128:102717. Qiu C, Miller S, Subramanian B, Ryu A, Zhang H, Fisher GA, Shah NH, Mongan J, Langlotz C, Poullos P, Shen J. PMID: 41633187.

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  5. Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Radiol Artif Intell. 2025 Nov; 7(6):e250137. Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O'Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz N. PMID: 41031949.

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  6. Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans. Abdom Radiol (NY). 2025 Oct 31. Sarquis Serpa A, Straus Takahashi M, Júdice de Mattos Farina EM, Bennett S, Khandwala N, Major M, Paparian J, Garozzo Velloni F, Rothenberg S, Kayat Bittencourt L, Filice RW, Mongan J, Campos Kitamura F. PMID: 41171405.

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  7. AI for Radiology: A Primer Part I. From Idea to Algorithm. Radiology. 2025 Oct; 317(1):e250692. Tejani AS, Rauschecker AM, Kohli M, Mongan J. PMID: 41117645.

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  8. Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge. Radiology. 2025 Aug; 316(2):e241447. Chen Y, Partridge GJW, Vazirabad M, Ball RL, Trivedi HM, Kitamura FC, Frazer HML, Retson TA, Yao L, Darker IT, Kelil T, Mongan J, Mann RM, Moy L. PMID: 40793948.

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  9. Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge. Nat Commun. 2025 Jul 08; 16(1):6274. Zenk M, Baid U, Pati S, Linardos A, Edwards B, Sheller M, Foley P, Aristizabal A, Zimmerer D, Gruzdev A, Martin J, Shinohara RT, Reinke A, Isensee F, Parampottupadam S, Parekh K, Floca R, Kassem H, Baheti B, Thakur S, Chung V, Kushibar K, Lekadir K, Jiang M, Yin Y, Yang H, Liu Q, Chen C, Dou Q, Heng PA, Zhang X, Zhang S, Khan MI, Azeem MA, Jafaritadi M, Alhoniemi E, Kontio E, Khan SA, Mächler L, Ezhov I, Kofler F, Shit S, Paetzold JC, Loehr T, Wiestler B, Peiris H, Pawar K, Zhong S, Chen Z, Hayat M, Egan G, Harandi M, Isik Polat E, Polat G, Kocyigit A, Temizel A, Tuladhar A, Tyagi L, Souza R, Forkert ND, Mouches P, Wilms M, Shambhat V, Maurya A, Danannavar SS, Kalla R, Anand VK, Krishnamurthi G, Nalawade S, Ganesh C, Wagner B, Reddy D, Das Y, Yu FF, Fei B, Madhuranthakam AJ, Maldjian J, Singh G, Ren J, Zhang W, An N, Hu Q, Zhang Y, Zhou Y, Siomos V, Tarroni G, Passerrat-Palmbach J, Rawat A, Zizzo G, Kadhe SR, Epperlein JP, Braghin S, Wang Y, Kanagavelu R, Wei Q, Yang Y, Liu Y, Kotowski K, Adamski S, Machura B, Malara W, Zarudzki L, Nalepa J, Shi Y, Gao H, Avestimehr S, Yan Y, Akbar AS, Kondrateva E, Yang H, Li Z, Wu HY, Roth J, Saueressig C, Milesi A, Nguyen QD, Gruenhagen NJ, Huang TM, Ma J, Singh HSH, Pan NY, Zhang D, Zeineldin RA, Futrega M, Yuan Y, Conte GM, Feng X, Pham QD, Xia Y, Jiang Z, Luu HM, Dobko M, Carré A, Tuchinov B, Mohy-Ud-Din H, Alam S, Singh A, Shah N, Wang W, Sako C, Bilello M, Ghodasara S, Mohan S, Davatzikos C, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Hess C, Mongan J, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Huang RY, Chang K, To MS, Bhardwaj S, Chong C, Agzarian M, Kozubek M, Lux F, Michálek J, Matula P, Ker Kovský M, Kopr Ivová T, Dostál M, Vybíhal V, Pinho MC, Holcomb J, Metz M, Jain R, Lee MD, Lui YW, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Colen RR, Kotrotsou A, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Bendszus M, Wick W, Mahajan A, Balaña C, Capellades J, Puig J, Choi YS, Lee SK, Chang JH, Ahn SS, Shaykh HF, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Garrett J, Larson M, Jeraj R, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Sharma S, Tseng TC, Adabi S, Xavier Falcão A, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, Niclou SP, Keunen O, Hau AC, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Luo B, Poisson LM, Wen N, Vallières M, Loutfi MAL, Fortin D, Lepage M, Morón F, Mandel J, Shukla G, Liem S, Alexandre GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Ogbole G, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu Hikima M, Soneye M, Dako F, Dorcas A, Murcia D, Fu E, Haas R, Thompson JA, Ormond DR, Currie S, Fatania K, Frood R, Simpson AL, Peoples JJ, Hu R, Cutler D, Moraes FY, Tran A, Hamghalam M, Boss MA, Gimpel J, Kattil Veettil D, Schmidt K, Cimino L, Price C, Bialecki B, Marella S, Apgar C, Jakab A, Weber MA, Colak E, Kleesiek J, Freymann JB, Kirby JS, Maier-Hein L, Albrecht J, Mattson P, Karargyris A, Shah P, Menze B, Maier-Hein K, Bakas S. PMID: 40628696; PMCID: PMC12238412.

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  10. The Evolution of Radiology Image Annotation in the Era of Large Language Models. Radiol Artif Intell. 2025 07; 7(4):e240631. Flanders AE, Wang X, Wu CC, Kitamura FC, Shih G, Mongan J, Peng Y. PMID: 40304582; PMCID: PMC12319696.

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  11. Invited Commentary: Reflections on Prompt Engineering and Generative Artificial Intelligence in Radiology. Radiographics. 2025 04; 45(4):e240230. Chung M, Mongan J. PMID: 40048391.

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  12. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ. 2025 Feb 05; 388:e081554. Lekadir K, Frangi AF, Porras AR, Glocker B, Cintas C, Langlotz CP, Weicken E, Asselbergs FW, Prior F, Collins GS, Kaissis G, Tsakou G, Buvat I, Kalpathy-Cramer J, Mongan J, Schnabel JA, Kushibar K, Riklund K, Marias K, Amugongo LM, Fromont LA, Maier-Hein L, Cerdá-Alberich L, Martí-Bonmatí L, Cardoso MJ, Bobowicz M, Shabani M, Tsiknakis M, Zuluaga MA, Fritzsche MC, Camacho M, Linguraru MG, Wenzel M, De Bruijne M, Tolsgaard MG, Goisauf M, Cano Abadía M, Papanikolaou N, Lazrak N, Pujol O, Osuala R, Napel S, Colantonio S, Joshi S, Klein S, Aussó S, Rogers WA, Salahuddin Z, Starmans MPA, FUTURE-AI Consortium. PMID: 39909534; PMCID: PMC11795397.

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  13. RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes. Radiol Artif Intell. 2025 01; 7(1):e240334. Hermans S, Hu Z, Ball RL, Lin HM, Prevedello LM, Berger FH, Yusuf I, Rudie JD, Vazirabad M, Flanders AE, Shih G, Mongan J, Nicolaou S, Marinelli BS, Davis MA, Magudia K, Sejdic E, Colak E. PMID: 39503604.

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  14. The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). ArXiv. 2024 Nov 24. Li HB, Conte GM, Hu Q, Anwar SM, Kofler F, Ezhov I, van Leemput K, Piraud M, Diaz M, Cole B, Calabrese E, Rudie J, Meissen F, Adewole M, Janas A, Kazerooni AF, LaBella D, Moawad AW, Farahani K, Eddy J, Bergquist T, Chung V, Shinohara RT, Dako F, Wiggins W, Reitman Z, Wang C, Liu X, Jiang Z, Familiar A, Johanson E, Meier Z, Davatzikos C, Freymann J, Kirby J, Bilello M, Fathallah-Shaykh HM, Wiest R, Kirschke J, Colen RR, Kotrotsou A, Lamontagne P, Marcus D, Milchenko M, Nazeri A, Weber MA, Mahajan A, Mohan S, Mongan J, Hess C, Cha S, Villanueva-Meyer J, Colak E, Crivellaro P, Jakab A, Albrecht J, Anazodo U, Aboian M, Yu T, Chung V, Bergquist T, Eddy J, Albrecht J, Baid U, Bakas S, Linguraru MG, Menze B, Iglesias JE, Wiestler B. PMID: 37608932; PMCID: PMC10441440.

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  15. Abstract 4124675: Deep Learning Screening of Cardiac MRIs Uncovers Undiagnosed Hypertrophic Cardiomyopathy in the UK BioBank. Circulation. 2024 Nov 12; 150(Suppl_1):a4124675-a4124675. Kaur KD, Shad SR, Zakka ZC, Fong FR, Pogatchnik PB, Filice FR, MONGAN MJ, Kallianos KK, Khandwala KN, Eng ED, Ferrari FV, de Feria dA, Acker AM, Hiesinger HW. .

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  16. The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. Radiol Artif Intell. 2024 11; 6(6):e240101. Rudie JD, Lin HM, Ball RL, Jalal S, Prevedello LM, Nicolaou S, Marinelli BS, Flanders AE, Magudia K, Shih G, Davis MA, Mongan J, Chang PD, Berger FH, Hermans S, Law M, Richards T, Grunz JP, Kunz AS, Mathur S, Galea-Soler S, Chung AD, Afat S, Kuo CC, Aweidah L, Villanueva Campos A, Somasundaram A, Sanchez Tijmes FA, Jantarangkoon A, Kayat Bittencourt L, Brassil M, El Hajjami A, Dogan H, Becircic M, Bharatkumar AG, Júdice de Mattos Farina EM, Colak E, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group. PMID: 39441109; PMCID: PMC11605137.

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  17. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update. Radiol Artif Intell. 2024 07; 6(4):e240300. Tejani AS, Klontzas ME, Gatti AA, Mongan JT, Moy L, Park SH, Kahn CE, CLAIM 2024 Update Panel. PMID: 38809149; PMCID: PMC11304031.

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  18. The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset. Radiol Artif Intell. 2024 07; 6(4):e230182. Fields BKK, Calabrese E, Mongan J, Cha S, Hess CP, Sugrue LP, Chang SM, Luks TL, Villanueva-Meyer JE, Rauschecker AM, Rudie JD. PMID: 38864741; PMCID: PMC11294954.

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  19. Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiol Artif Intell. 2024 07; 6(4):e240225. Linguraru MG, Bakas S, Aboian M, Chang PD, Flanders AE, Kalpathy-Cramer J, Kitamura FC, Lungren MP, Mongan J, Prevedello LM, Summers RM, Wu CC, Adewole M, Kahn CE. PMID: 38984986; PMCID: PMC11294958.

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  20. Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiol Artif Intell. 2024 05; 6(3):e230227. Kitamura FC, Prevedello LM, Colak E, Halabi SS, Lungren MP, Ball RL, Kalpathy-Cramer J, Kahn CE, Richards T, Talbott JF, Shih G, Lin HM, Andriole KP, Vazirabad M, Erickson BJ, Flanders AE, Mongan J. PMID: 38477659; PMCID: PMC11140499.

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  21. The Global Reading Room: Purchasing a Radiology Artificial Intelligence System. AJR Am J Roentgenol. 2025 Jan; 224(1):e2431242. Huisman M, Kitamura FC, Mongan J, Yanagawa M. PMID: 38598353.

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  22. The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiol Artif Intell. 2024 03; 6(2):e230126. Rudie JD, Saluja R, Weiss DA, Nedelec P, Calabrese E, Colby JB, Laguna B, Mongan J, Braunstein S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE. PMID: 38381038; PMCID: PMC10982817.

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  23. Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI. J Am Coll Radiol. 2024 Jul; 21(7):1119-1129. Larson DB, Doo FX, Allen B, Mongan J, Flanders AE, Wald C. PMID: 38354844.

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  24. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA. J Am Coll Radiol. 2024 Aug; 21(8):1292-1310. Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Pinto Dos Santos D, Tang A, Wald C, Slavotinek J. PMID: 38276923.

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  25. Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA. J Med Imaging Radiat Oncol. 2024 Feb; 68(1):7-26. Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Pinto Dos Santos D, Tang A, Wald C, Slavotinek J. PMID: 38259140.

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  26. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA. Can Assoc Radiol J. 2024 May; 75(2):226-244. Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Dos Santos DP, Tang A, Wald C, Slavotinek J. PMID: 38251882.

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  27. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA. Radiol Artif Intell. 2024 01; 6(1):e230513. Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Dos Santos DP, Tang A, Wald C, Slavotinek J. PMID: 38251899; PMCID: PMC10831521.

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  28. Abstract 13588: A Generalizable Deep Learning System for Cardiac MRI. Circulation. 2023 Nov 7; 148(Suppl_1). Shad SR, Zakka ZC, Kaur KD, MONGAN MJ, Kallianos KK, Filice FR, Khandwala KN, Eng ED, Langlotz LC, Hiesinger HW. .

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  29. Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research. Nature Machine Intelligence. 2023 Sep 1; 5(9):950-951. Tejani TA, Klontzas KM, Gatti GA, Mongan MJ, Moy ML, Park PS, Kahn KC. .

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  30. On the Centrality of Data: Data Resources in Radiologic Artificial Intelligence. Radiol Artif Intell. 2023 Sep; 5(5):e230231. Mongan J, Halabi SS. PMID: 37795139; PMCID: PMC10546351.

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  31. TotalSegmentator: A Gift to the Biomedical Imaging Community. Radiol Artif Intell. 2023 Sep; 5(5):e230235. Sebro R, Mongan J. PMID: 37795136; PMCID: PMC10546367.

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  32. The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. ArXiv. 2023 May 12. LaBella D, Adewole M, Alonso-Basanta M, Altes T, Anwar SM, Baid U, Bergquist T, Bhalerao R, Chen S, Chung V, Conte GM, Dako F, Eddy J, Ezhov I, Godfrey D, Hilal F, Familiar A, Farahani K, Iglesias JE, Jiang Z, Johanson E, Kazerooni AF, Kent C, Kirkpatrick J, Kofler F, Leemput KV, Li HB, Liu X, Mahtabfar A, McBurney-Lin S, McLean R, Meier Z, Moawad AW, Mongan J, Nedelec P, Pajot M, Piraud M, Rashid A, Reitman Z, Shinohara RT, Velichko Y, Wang C, Warman P, Wiggins W, Aboian M, Albrecht J, Anazodo U, Bakas S, Flanders A, Janas A, Khanna G, Linguraru MG, Menze B, Nada A, Rauschecker AM, Rudie J, Tahon NH, Villanueva-Meyer J, Wiestler B, Calabrese E. PMID: 37608937; PMCID: PMC10441446.

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  33. Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer. Radiology. 2023 Mar; 306(3):e239004. Chung M, Calabrese E, Mongan J, Ray KM, Hayward JH, Kelil T, Sieberg R, Hylton N, Joe BN, Lee AY. PMID: 36803003.

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  35. PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare. Nat Med. 2023 01; 29(1):14-15. Cacciamani GE, Chu TN, Sanford DI, Abreu A, Duddalwar V, Oberai A, Kuo CJ, Liu X, Denniston AK, Vasey B, McCulloch P, Wolff RF, Mallett S, Mongan J, Kahn CE, Sounderajah V, Darzi A, Dahm P, Moons KGM, Topol E, Collins GS, Moher D, Gill IS, Hung AJ. PMID: 36646804.

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  39. The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J Digit Imaging. 2023 02; 36(1):365-372. Lakhani P, Mongan J, Singhal C, Zhou Q, Andriole KP, Auffermann WF, Prasanna PM, Pham TX, Peterson M, Bergquist PJ, Cook TS, Ferraciolli SF, Corradi GCA, Takahashi MS, Workman CS, Parekh M, Kamel SI, Galant J, Mas-Sanchez A, Benítez EC, Sánchez-Valverde M, Jaques L, Panadero M, Vidal M, Culiañez-Casas M, Angulo-Gonzalez D, Langer SG, de la Iglesia-Vayá M, Shih G. PMID: 36171520; PMCID: PMC9518934.

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  40. Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v Wade. Clin Imaging. 2023 01; 93:117-121. Karandikar A, Solberg A, Fung A, Lee AY, Farooq A, Taylor AC, Oliveira A, Narayan A, Senter A, Majid A, Tong A, McGrath AL, Malik A, Brown AL, Roberts A, Fleischer A, Vettiyil B, Zigmund B, Park B, Curran B, Henry C, Jaimes C, Connolly C, Robson C, Meltzer CC, Phillips CH, Dove C, Glastonbury C, Pomeranz C, Kirsch CFE, Burgan CM, Scher C, Tomblinson C, Fuss C, Santillan C, Daye D, Brown DB, Young DJ, Kopans D, Vargas D, Martin D, Thompson D, Jordan DW, Shatzkes D, Sun D, Mastrodicasa D, Smith E, Korngold E, Dibble EH, Arleo EK, Hecht EM, Morris E, Maltin EP, Cooke EA, Schwartz ES, Lehrman E, Sodagari F, Shah F, Doo FX, Rigiroli F, Vilanilam GK, Landinez G, Kim GG, Rahbar H, Choi H, Bandesha H, Ojeda-Fournier H, Ikuta I, Dragojevic I, Schroeder JLT, Ivanidze J, Katzen JT, Chiang J, Nguyen J, Robinson JD, Broder JC, Kemp J, Weaver JS, Conyers JM, Robbins JB, Leschied JR, Wen J, Park J, Mongan J, Perchik J, Barbero JPM, Jacob J, Ledbetter K, Macura KJ, Maturen KE, Frederick-Dyer K, Dodelzon K, Cort K, Kisling K, Babagbemi K, McGill KC, Chang KJ, Feigin K, Winsor KS, Seifert K, Patel K, Porter KK, Foley KM, Patel-Lippmann K, McIntosh LJ, Padilla L, Groner L, Harry LM, Ladd LM, Wang L, Spalluto LB, Mahesh M, Marx MV, Sugi MD, Sammer MBK, Sun M, Barkovich MJ, Miller MJ, Vella M, Davis MA, Englander MJ, Durst M, Oumano M, Wood MJ, McBee MP, Fischbein NJ, Kovalchuk N, Lall N, Eclov N, Madhuripan N, Ariaratnam NS, Vincoff NS, Kothary N, Yahyavi-Firouz-Abadi N, Brook OR, Glenn OA, Woodard PK, Mazaheri P, Rhyner P, Eby PR, Raghu P, Gerson RF, Patel R, Gutierrez RL, Gebhard R, Andreotti RF, Masum R, Woods R, Mandava S, Harrington SG, Parikh S, Chu S, Arora SS, Meyers SM, Prabhu S, Shams S, Pittman S, Patel SN, Payne S, Hetts SW, Hijaz TA, Chapman T, Loehfelm TW, Juang T, Clark TJ, Potigailo V, Shah V, Planz V, Kalia V, DeMartini W, Dillon WP, Gupta Y, Koethe Y, Hartley-Blossom Z, Wang ZJ, McGinty G, Haramati A, Allen LM, Germaine P. PMID: 36064645.

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  41. View in:

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  42. Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. Cancers (Basel). 2022 May 25; 14(11). Merkaj S, Bahar RC, Zeevi T, Lin M, Ikuta I, Bousabarah K, Cassinelli Petersen GI, Staib L, Payabvash S, Mongan JT, Cha S, Aboian MS. PMID: 35681603; PMCID: PMC9179416.

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  43. Imaging AI in Practice: Introducing the Special Issue. Radiol Artif Intell. 2022 Mar; 4(2):e220039. Mongan J, Vagal A, Wu CC. PMID: 35391763; PMCID: PMC8980860.

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  44. Gastrointestinal Stromal Tumors: Radiomics may Increase the Role of Imaging in Malignant Risk Assessment. Acad Radiol. 2022 06; 29(6):817-818. Webb EM, Mongan J. PMID: 35248459.

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  45. RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications. Radiol Artif Intell. 2021 Sep; 3(5):e210118. Mongan J, Kalpathy-Cramer J, Flanders A, George Linguraru M. PMID: 34617032; PMCID: PMC8489458.

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  46. Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ Digit Med. 2021 Jun 01; 4(1):88. Eng D, Chute C, Khandwala N, Rajpurkar P, Long J, Shleifer S, Khalaf MH, Sandhu AT, Rodriguez F, Maron DJ, Seyyedi S, Marin D, Golub I, Budoff M, Kitamura F, Takahashi MS, Filice RW, Shah R, Mongan J, Kallianos K, Langlotz CP, Lungren MP, Ng AY, Patel BN. PMID: 34075194; PMCID: PMC8169744.

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  47. The RSNA Pulmonary Embolism CT Dataset. Radiol Artif Intell. 2021 03; 3(2):e200254. Colak E, Kitamura FC, Hobbs SB, Wu CC, Lungren MP, Prevedello LM, Kalpathy-Cramer J, Ball RL, Shih G, Stein A, Halabi SS, Altinmakas E, Law M, Kumar P, Manzalawi KA, Nelson Rubio DC, Sechrist JW, Germaine P, Lopez EC, Amerio T, Gupta P, Jain M, Kay FU, Lin CT, Sen S, Revels JW, Brussaard CC, Mongan J, RSNA-STR Annotators and Dataset Curation Contributors. PMID: 33937862; PMCID: PMC8043364.

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  48. The RSNA International COVID-19 Open Radiology Database (RICORD). Radiology. 2021 04; 299(1):E204-E213. Tsai EB, Simpson S, Lungren MP, Hershman M, Roshkovan L, Colak E, Erickson BJ, Shih G, Stein A, Kalpathy-Cramer J, Shen J, Hafez M, John S, Rajiah P, Pogatchnik BP, Mongan J, Altinmakas E, Ranschaert ER, Kitamura FC, Topff L, Moy L, Kanne JP, Wu CC. PMID: 33399506; PMCID: PMC7993245.

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  49. Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions. J Am Coll Radiol. 2020 Nov; 17(11):1405-1409. Filice RW, Mongan J, Kohli MD. PMID: 33035503.

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  50. Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiol Artif Intell. 2020 Jul; 2(4):e209002. Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, Miller E, Ikuta I, Zohrabian V, McDonnell O, Lincoln C, Shah L, Joyner D, Agarwal A, Lee RK, Nath J, RSNA-ASNR 2019 Brain Hemorrhage CT Annotators. PMID: 33939782; PMCID: PMC8082367.

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  51. Effect of shelter-in-place on emergency department radiology volumes during the COVID-19 pandemic. Emerg Radiol. 2020 Dec; 27(6):781-784. Houshyar R, Tran-Harding K, Glavis-Bloom J, Nguyentat M, Mongan J, Chahine C, Loehfelm TW, Kohli MD, Zaragoza EJ, Murphy PM, Kampalath R. PMID: 32504280; PMCID: PMC7273127.

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    HumansCellsPHPublic Health
  52. Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiol Artif Intell. 2020 05; 2(3):e190211. Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, Miller E, Ikuta I, Zohrabian V, McDonnell O, Lincoln C, Shah L, Joyner D, Agarwal A, Lee RK, Nath J, RSNA-ASNR 2019 Brain Hemorrhage CT Annotators. PMID: 33937827; PMCID: PMC8082297.

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  53. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers. Radiol Artif Intell. 2020 Mar; 2(2):e200029. Mongan J, Moy L, Kahn CE. PMID: 33937821; PMCID: PMC8017414.

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  54. Artificial Intelligence and Human Life: Five Lessons for Radiology from the 737 MAX Disasters. Radiol Artif Intell. 2020 Mar; 2(2):e190111. Mongan J, Kohli M. PMID: 33937819; PMCID: PMC8017379.

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  55. Mandated Imaging Appropriate Use Criteria. Ann Intern Med. 2019 11 05; 171(9):682-683. Hentel KD, Menard A, Mongan J, Durack JC, Raja AS, Khorasani R. PMID: 31683282.

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  56. What Physicians and Health Organizations Should Know About Mandated Imaging Appropriate Use Criteria. Ann Intern Med. 2019 06 18; 170(12):880-885. Hentel KD, Menard A, Mongan J, Durack JC, Johnson PT, Raja AS, Khorasani R. PMID: 31181572.

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  57. Potential Effect of the Protecting Access to Medicare Act on Use of Advanced Diagnostic Imaging in the Emergency Department: An Analysis of the National Hospital Ambulatory Care Survey. Radiology. 2019 04; 291(1):188-193. Fahimi J, Kanzaria HK, Mongan J, Kahn KL, Wang RC. PMID: 30694161.

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  58. How far have we come? Artificial intelligence for chest radiograph interpretation. Clin Radiol. 2019 05; 74(5):338-345. Kallianos K, Mongan J, Antani S, Henry T, Taylor A, Abuya J, Kohli M. PMID: 30704666.

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  59. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study. PLoS Med. 2018 11; 15(11):e1002697. Taylor AG, Mielke C, Mongan J. PMID: 30457991; PMCID: PMC6245672.

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  60. Impact of PACS-EMR Integration on Radiologist Usage of the EMR. J Digit Imaging. 2018 10; 31(5):611-614. Mongan J, Avrin D. PMID: 29696473; PMCID: PMC6148806.

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  61. Association between misty mesentery with baseline or new diagnosis of cancer: a matched cohort study. Clin Imaging. 2018 Jul - Aug; 50:57-61. Marcus SG, Candia S, Kohli MD, Mongan J, Zagoria RJ, Behr SC, Sun D, Westphalen AC. PMID: 29276962.

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  62. Can Radiologists Learn From Airport Baggage Screening?: A Survey About Using Fictional Patients for Quality Assurance. Acad Radiol. 2018 02; 25(2):226-234. Phelps A, Callen AL, Marcovici P, Naeger DM, Mongan J, Webb EM. PMID: 29122472.

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  63. Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up. Radiographics. 2017 Sep-Oct; 37(5):1451-1460. Kovacs MD, Mesterhazy J, Avrin D, Urbania T, Mongan J. PMID: 28898194.

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  64. Contrast Enhanced Ultrasound as a Radiation-Free Alternative to Fluoroscopic Nephrostogram for Evaluating Ureteral Patency. J Urol. 2017 12; 198(6):1367-1373. Chi T, Usawachintachit M, Weinstein S, Kohi MP, Taylor A, Tzou DT, Chang HC, Stoller M, Mongan J. PMID: 28743528.

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  65. PD11-05 CONTRAST-ENHANCED ULTRASOUND AS A REPLACEMENT FOR FLUOROSCOPIC NEPHROSTOGRAM FOLLOWING PERCUTANEOUS NEPHROLITHOTOMY. The Journal of Urology. 2017 Apr 1; 197(4):e207-e208. Chi CT, Usawachintachit UM, Tzou TD, Chang CH, Sherer SB, Stoller SM, Weinstein WS, Mongan MJ. .

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  66. High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks. J Digit Imaging. 2017 02; 30(1):95-101. Rajkomar A, Lingam S, Taylor AG, Blum M, Mongan J. PMID: 27730417; PMCID: PMC5267603.

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  67. Contrast Enhanced Ultrasound Detects Recurrent Renal Cell Carcinoma in the Setting of Chronic Renal Insufficiency. Clin Genitourin Cancer. 2017 08; 15(4):e735-e737. Tzou DT, Weinstein S, Usawachintachit M, Mongan J, Greene KL, Chi T. PMID: 28131753; PMCID: PMC5540333.

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  68. Feasibility of Retrograde Ureteral Contrast Injection to Guide Ultrasonographic Percutaneous Renal Access in the Nondilated Collecting System. J Endourol. 2017 02; 31(2):129-134. Usawachintachit M, Tzou DT, Mongan J, Taguchi K, Weinstein S, Chi T. PMID: 27809568; PMCID: PMC5312625.

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  69. Antegrade ultrasound contrast injection facilitates accurate nephrostomy tube positioning during percutaneous nephrolithotomy. Int J Urol. 2017 03; 24(3):239-240. Usawachintachit M, Tzou DT, Mongan J, Weinstein S, Chi T. PMID: 27862356; PMCID: PMC6081197.

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  70. Feasibility of Antegrade Contrast-enhanced US Nephrostograms to Evaluate Ureteral Patency. Radiology. 2017 04; 283(1):273-279. Chi T, Usawachintachit M, Mongan J, Kohi MP, Taylor A, Jha P, Chang HC, Stoller M, Goldstein R, Weinstein S. PMID: 28234551; PMCID: PMC5375626.

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  71. Definition of Confidence Interval. Radiographics. 2016 Sep-Oct; 36(5):1602. Mongan J, Sebro R. PMID: 27618334.

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  72. Beyond Prostate Adenocarcinoma: Expanding the Differential Diagnosis in Prostate Pathologic Conditions. Radiographics. 2016 Jul-Aug; 36(4):1055-75. Li Y, Mongan J, Behr SC, Sud S, Coakley FV, Simko J, Westphalen AC. PMID: 27315446.

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  73. PD14-01 CAN CONTRAST-ENHANCED ULTRASOUND REPLACE FLUOROSCOPIC NEPHROSTOGRAM?. The Journal of Urology. 2016 Apr 1; 195(4):e302-e303. Usawachintachit UM, Mongan MJ, Truesdale TM, Weinstein WS, Chi CT. .

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  74. In vivo comparison of tantalum, tungsten, and bismuth enteric contrast agents to complement intravenous iodine for double-contrast dual-energy CT of the bowel. Contrast Media Mol Imaging. 2016 07; 11(4):254-61. Rathnayake S, Mongan J, Torres AS, Colborn R, Gao DW, Yeh BM, Fu Y. PMID: 26892945; PMCID: PMC4969129.

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  75. Age and sex-dependent trends in pulmonary embolism testing and derivation of a clinical decision rule for young patients. Emerg Med J. 2015 Nov; 32(11):840-5. Mongan J, Kline J, Smith-Bindman R. PMID: 25755270.

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  76. The radiologist's workflow environment: evaluation of disruptors and potential implications. J Am Coll Radiol. 2014 Jun; 11(6):589-93. Yu JP, Kansagra AP, Mongan J. PMID: 24775910.

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  77. Extravasated contrast material in penetrating abdominopelvic trauma: dual-contrast dual-energy CT for improved diagnosis--preliminary results in an animal model. Radiology. 2013 Sep; 268(3):738-42. Mongan J, Rathnayake S, Fu Y, Gao DW, Yeh BM. PMID: 23687174; PMCID: PMC3750414.

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    HumansAnimals
  78. Pancreatic imaging mimics: part 1, imaging mimics of pancreatic adenocarcinoma. AJR Am J Roentgenol. 2012 Aug; 199(2):301-8. Coakley FV, Hanley-Knutson K, Mongan J, Barajas R, Bucknor M, Qayyum A. PMID: 22826390.

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  79. In vivo differentiation of complementary contrast media at dual-energy CT. Radiology. 2012 Oct; 265(1):267-72. Mongan J, Rathnayake S, Fu Y, Wang R, Jones EF, Gao DW, Yeh BM. PMID: 22778447; PMCID: PMC3447173.

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  80. Analysis of integral expressions for effective Born radii. J Chem Phys. 2007 Nov 14; 127(18):185101. Mongan J, Svrcek-Seiler WA, Onufriev A. PMID: 18020664.

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  81. Generalized Born model with a simple, robust molecular volume correction. J Chem Theory Comput. 2007 Jan 01; 3(1):156-169. Mongan J, Simmerling C, McCammon JA, Case DA, Onufriev A. PMID: 21072141; PMCID: PMC2975579.

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  82. Evaluation and binding-mode prediction of thiopyrone-based inhibitors of anthrax lethal factor. ChemMedChem. 2006 Jul; 1(7):694-7. Lewis JA, Mongan J, McCammon JA, Cohen SM. PMID: 16902919.

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  83. Potent, selective pyrone-based inhibitors of stromelysin-1. J Am Chem Soc. 2005 Oct 19; 127(41):14148-9. Puerta DT, Mongan J, Tran BL, McCammon JA, Cohen SM. PMID: 16218585.

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  84. Limitations of atom-centered dielectric functions in implicit solvent models. J Phys Chem B. 2005 Aug 11; 109(31):14769-72. Swanson JM, Mongan J, McCammon JA. PMID: 16852866.

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  85. Biomolecular simulations at constant pH. Curr Opin Struct Biol. 2005 Apr; 15(2):157-63. Mongan J, Case DA. PMID: 15837173.

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  86. Constant pH molecular dynamics in generalized Born implicit solvent. J Comput Chem. 2004 Dec; 25(16):2038-48. Mongan J, Case DA, McCammon JA. PMID: 15481090.

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  87. Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules. J Chem Phys. 2004 Jun 22; 120(24):11919-29. Hamelberg D, Mongan J, McCammon JA. PMID: 15268227.

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  88. Interactive essential dynamics. J Comput Aided Mol Des. 2004 Jun; 18(6):433-6. Mongan J. PMID: 15663003.

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