Rajesh Ranganath, PhD

Assistant Professor, Department of Population Health

Positions

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

Graduate Education

PhD from Princeton University

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Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI (ProMT-ML) in Patients With Suspected Prostate Cancer

Persily, Jesse; Chandarana, Hersh; Tong, Angela; Ranganath, Rajesh; Taneja, Samir; Nayan, Madhur

Journal of magnetic resonance imaging : JMRI. 2025 Nov 04;

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Persily, Jesse; Chang, Steven L; Chen, Chen; Neshatvar, Yassamin; Desiraju, Siri; Ranganath, Rajesh; Murray, Katie; Feldman, Adam; Dahl, Douglas; Taneja, Samir S; Huang, William C; Nayan, Madhur

JCO clinical cancer informatics. 2025 Nov; 9:e2500086

Predicting hematoma expansion after intracerebral hemorrhage: a comparison of clinician prediction with deep learning radiomics models

Yu, Boyang; Melmed, Kara R; Frontera, Jennifer; Zhu, Weicheng; Huang, Haoxu; Qureshi, Adnan I; Maggard, Abigail; Steinhof, Michael; Kuohn, Lindsey; Kumar, Arooshi; Berson, Elisa R; Tran, Anh T; Payabvash, Seyedmehdi; Ironside, Natasha; Brush, Benjamin; Dehkharghani, Seena; Razavian, Narges; Ranganath, Rajesh

Neurocritical care. 2025 Aug; 43(1):119-129

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation

Joshi, Shalmali; Urteaga, Iñigo; van Amsterdam, Wouter A C; Hripcsak, George; Elias, Pierre; Recht, Benjamin; Elhadad, Noémie; Fackler, James; Sendak, Mark P; Wiens, Jenna; Deshpande, Kaivalya; Wald, Yoav; Fiterau, Madalina; Lipton, Zachary; Malinsky, Daniel; Nayan, Madhur; Namkoong, Hongseok; Park, Soojin; Vogt, Julia E; Ranganath, Rajesh

Journal of the American Medical Informatics Association. 2025 Mar 01; 32(3):589-594

Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model

Carbunaru, Samuel; Neshatvar, Yassamin; Do, Hyungrok; Murray, Katie; Ranganath, Rajesh; Nayan, Madhur

JMIR medical informatics. 2024 Dec 13; 12:e63289

Quantifying impairment and disease severity using AI models trained on healthy subjects

Yu, Boyang; Kaku, Aakash; Liu, Kangning; Parnandi, Avinash; Fokas, Emily; Venkatesan, Anita; Pandit, Natasha; Ranganath, Rajesh; Schambra, Heidi; Fernandez-Granda, Carlos

NPJ digital medicine. 2024 Jul 06; 7(1):180

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 Jun 30; 13(6):472-480

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

See All Publications (27)