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Yindalon Aphinyanaphongs

Yindalon Aphinyanaphongs, MD, PhD

Assistant Professor, Department of Population Health

Assistant 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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These focus areas and their associated publications are derived from medical subject headings from PubMed.
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Positions

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

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

Course Director, Machine Learning

Director, Operational Data Science and Machine Learning for NYULH

Graduate Education

MD from Vanderbilt University

PhD from Vanderbilt University

Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings

Woo, Kar-Mun C; Simon, Gregory W; Akindutire, Olumide; Aphinyanaphongs, Yindalon; Austrian, Jonathan S; Kim, Jung G; Genes, Nicholas; Goldenring, Jacob A; Major, Vincent J; Pariente, Chloé S; Pineda, Edwin G; Kang, Stella K

Journal of the American Medical Informatics Association : JAMIA. 2024 May 23;

QTNet: Predicting Drug-Induced QT Prolongation With Artificial Intelligence-Enabled Electrocardiograms

Zhang, Hao; Tarabanis, Constantine; Jethani, Neil; Goldstein, Mark; Smith, Silas; Chinitz, Larry; Ranganath, Rajesh; Aphinyanaphongs, Yindalon; Jankelson, Lior

JACC. Clinical electrophysiology. 2024 May; 10(5):956-966

Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning

Hu, Yuxuan; Lui, Albert; Goldstein, Mark; Sudarshan, Mukund; Tinsay, Andrea; Tsui, Cindy; Maidman, Samuel D; Medamana, John; Jethani, Neil; Puli, Aahlad; Nguy, Vuthy; Aphinyanaphongs, Yindalon; Kiefer, Nicholas; Smilowitz, Nathaniel R; Horowitz, James; Ahuja, Tania; Fishman, Glenn I; Hochman, Judith; Katz, Stuart; Bernard, Samuel; Ranganath, Rajesh

European heart journal. Acute cardiovascular care. 2024 Mar 22;

Marketing and US Food and Drug Administration Clearance of Artificial Intelligence and Machine Learning Enabled Software in and as Medical Devices: A Systematic Review

Clark, Phoebe; Kim, Jayne; Aphinyanaphongs, Yindalon

JAMA network open. 2023 Jul 03; 6(7):e2321792

Health system-scale language models are all-purpose prediction engines

Jiang, Lavender Yao; Liu, Xujin Chris; Nejatian, Nima Pour; Nasir-Moin, Mustafa; Wang, Duo; Abidin, Anas; Eaton, Kevin; Riina, Howard Antony; Laufer, Ilya; Punjabi, Paawan; Miceli, Madeline; Kim, Nora C; Orillac, Cordelia; Schnurman, Zane; Livia, Christopher; Weiss, Hannah; Kurland, David; Neifert, Sean; Dastagirzada, Yosef; Kondziolka, Douglas; Cheung, Alexander T M; Yang, Grace; Cao, Ming; Flores, Mona; Costa, Anthony B; Aphinyanaphongs, Yindalon; Cho, Kyunghyun; Oermann, Eric Karl

Nature. 2023 Jul; 619(7969):357-362

Methods and Impact for Using Federated Learning to Collaborate on Clinical Research

Cheung, Alexander T M; Nasir-Moin, Mustafa; Fred Kwon, Young Joon; Guan, Jiahui; Liu, Chris; Jiang, Lavender; Raimondo, Christian; Chotai, Silky; Chambless, Lola; Ahmad, Hasan S; Chauhan, Daksh; Yoon, Jang W; Hollon, Todd; Buch, Vivek; Kondziolka, Douglas; Chen, Dinah; Al-Aswad, Lama A; Aphinyanaphongs, Yindalon; Oermann, Eric Karl

Neurosurgery. 2023 Feb 01; 92(2):431-438

AI model transferability in healthcare: a sociotechnical perspective

Wiesenfeld, Batia Mishan; Aphinyanaphongs, Yin; Nov, Oded

Nature machine intelligence. 2022 Oct 01; 4(<prism:issueIdentifier>10):807-809

Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation

Schaye, Verity; Guzman, Benedict; Burk-Rafel, Jesse; Marin, Marina; Reinstein, Ilan; Kudlowitz, David; Miller, Louis; Chun, Jonathan; Aphinyanaphongs, Yindalon

Journal of general internal medicine. 2022 Jul; 37(9):2230-2238

See All Publications (82)

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