Yindalon Aphinyanaphongs

Yindalon Aphinyanaphongs, MD, PhD

Research Professor, Department of Population Health

Research Professor, Department of Medicine

Keywords
machine learning, predictive analytics, translational clinical data science, translational predictive analytics

Phone

212-263-9041

Academic office

227 East 30th Street

Seventh Floor

New York, NY 10016

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Positions

Research Professor, Department of Population Health at NYU Grossman School of Medicine

Research Professor, Department of Medicine at NYU Grossman School of Medicine

Director, Operational Data Science and Machine Learning for NYULH

Graduate Education

MD from Vanderbilt University

PhD from Vanderbilt University

Utilization of Machine Learning Models to More Accurately Predict Case Duration in Primary Total Joint Arthroplasty

Dellicarpini, Gennaro; Passano, Brandon; Yang, Jie; Yassin, Sallie M; Becker, Jacob; Aphinyanaphongs, Yindalon; Capozzi, James

Journal of arthroplasty. 2025 May; 40(5):1185-1191

Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms

Zhu, Weicheng; Chen, Long; Aphinyanaphongs, Yindalon; Kastrinos, Fay; Simeone, Diane M; Pochapin, Mark; Stender, Cody; Razavian, Narges; Gonda, Tamas A

Scientific reports. 2025 Apr 05; 15(1):11697

Large Language Model-Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study

Schaye, Verity; DiTullio, David; Guzman, Benedict Vincent; Vennemeyer, Scott; Shih, Hanniel; Reinstein, Ilan; Weber, Danielle E; Goodman, Abbie; Wu, Danny T Y; Sartori, Daniel J; Santen, Sally A; Gruppen, Larry; Aphinyanaphongs, Yindalon; Burk-Rafel, Jesse

Journal of medical Internet research. 2025 Mar 21; 27:e67967

Trials and Tribulations: Responses of ChatGPT to Patient Questions About Kidney Transplantation

Xu, Jingzhi; Mankowski, Michal; Vanterpool, Karen B; Strauss, Alexandra T; Lonze, Bonnie E; Orandi, Babak J; Stewart, Darren; Bae, Sunjae; Ali, Nicole; Stern, Jeffrey; Mattoo, Aprajita; Robalino, Ryan; Soomro, Irfana; Weldon, Elaina; Oermann, Eric K; Aphinyanaphongs, Yin; Sidoti, Carolyn; McAdams-DeMarco, Mara; Massie, Allan B; Gentry, Sommer E; Segev, Dorry L; Levan, Macey L

Transplantation. 2025 Mar 01; 109(3):399-402

Health system-wide access to generative artificial intelligence: the New York University Langone Health experience

Malhotra, Kiran; Wiesenfeld, Batia; Major, Vincent J; Grover, Himanshu; Aphinyanaphongs, Yindalon; Testa, Paul; Austrian, Jonathan S

Journal of the American Medical Informatics Association. 2025 Feb 01; 32(2):268-274

Medical large language models are vulnerable to data-poisoning attacks

Alber, Daniel Alexander; Yang, Zihao; Alyakin, Anton; Yang, Eunice; Rai, Sumedha; Valliani, Aly A; Zhang, Jeff; Rosenbaum, Gabriel R; Amend-Thomas, Ashley K; Kurland, David B; Kremer, Caroline M; Eremiev, Alexander; Negash, Bruck; Wiggan, Daniel D; Nakatsuka, Michelle A; Sangwon, Karl L; Neifert, Sean N; Khan, Hammad A; Save, Akshay Vinod; Palla, Adhith; Grin, Eric A; Hedman, Monika; Nasir-Moin, Mustafa; Liu, Xujin Chris; Jiang, Lavender Yao; Mankowski, Michal A; Segev, Dorry L; Aphinyanaphongs, Yindalon; Riina, Howard A; Golfinos, John G; Orringer, Daniel A; Kondziolka, Douglas; Oermann, Eric Karl

Nature medicine. 2025 Feb; 31(2):618-626

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, Jack; Afshar, Majid; Ameen, Saleem; Aphinyanaphongs, Yindalon; Chen, Shan; Cacciamani, Giovanni; Demner-Fushman, Dina; Dligach, Dmitriy; Daneshjou, Roxana; Fernandes, Chrystinne; Hansen, Lasse Hyldig; Landman, Adam; Lehmann, Lisa; McCoy, Liam G; Miller, Timothy; Moreno, Amy; Munch, Nikolaj; Restrepo, David; Savova, Guergana; Umeton, Renato; Gichoya, Judy Wawira; Collins, Gary S; Moons, Karel G M; Celi, Leo A; Bitterman, Danielle S

Nature medicine. 2025 Jan; 31(1):60-69

Evaluating Large Language Models in extracting cognitive exam dates and scores

Zhang, Hao; Jethani, Neil; Jones, Simon; Genes, Nicholas; Major, Vincent J; Jaffe, Ian S; Cardillo, Anthony B; Heilenbach, Noah; Ali, Nadia Fazal; Bonanni, Luke J; Clayburn, Andrew J; Khera, Zain; Sadler, Erica C; Prasad, Jaideep; Schlacter, Jamie; Liu, Kevin; Silva, Benjamin; Montgomery, Sophie; Kim, Eric J; Lester, Jacob; Hill, Theodore M; Avoricani, Alba; Chervonski, Ethan; Davydov, James; Small, William; Chakravartty, Eesha; Grover, Himanshu; Dodson, John A; Brody, Abraham A; Aphinyanaphongs, Yindalon; Masurkar, Arjun; Razavian, Narges

PLOS digital health. 2024 Dec; 3(12):e0000685

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