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Collaborations and top research areas from the last five years
Profiles
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Kristine Alpi
- The Gustave L. and Janet W. Levy Library - Associate Dean
- Data-Driven and Digital Medicine - Professor
- Icahn School of Medicine at Mount Sinai - Professor
- Medicine - Professor
Person: Academic
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Girish Nadkarni
- The Charles Bronfman Institute for Personalized Medicine
- Center for Artificial Intelligence in Children’s Health
- Institute for Health Equity Research
- Artificial Intelligence and Human Health
- Data-Driven and Digital Medicine
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn School of Medicine at Mount Sinai
- Medicine
- Medicine - Nephrology
- Mount Sinai Academy of Physician-Scientists
- Mount Sinai Clinical Intelligence Institute
- Nephrology T32
Person
Research output
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Alignment of large language models in solving medical ethical dilemmas
Sorin, V., Glicksberg, B. S., Korfiatis, P., Collins, J. D., Yeow, M. E., Brandeland, M., Nadkarni, G. N. & Klang, E., 1 Jan 2026, In: Digital Health. 12Research output: Contribution to journal › Article › peer-review
Open Access -
A Methodology for Creating Patient Relevant Questions Suitable for Evaluating AI Generated Health Advice
Goyal, S., Tai, H. H., Rosen, E., Chandra, S., Borycki, E., Kushniruk, A., Mansour, M., Shah, D. & Kannry, J., 21 May 2026, In: Studies in Health Technology and Informatics. 336, p. 745-749 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A study of gene expression in the living human brain
Liharska, L. E., Park, Y. J., Ziafat, K., Wilkins, L., Silk, H., Linares, L. M., Thompson, R. C., Vornholt, E., Sullivan, B., Cohen, V., Kota, P., Feng, C., Cheng, E., Johnson, J. S., Rieder, M. K., Huang, J., Scarpa, J., Polanco, J., Moya, E. & Hashemi, A. & 8 others, , Jan 2026, In: Molecular Psychiatry. 31, 1, p. 137-157 21 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
A transcriptional program associated with neurotransmission in the living human brain
Charney, A. W., Liharska, L. E., Vornholt, E., Valentine, A., Lund, A., Hashemi, A., Thompson, R. C., Lohrenz, T., Johnson, J. S., Bussola, N., Cheng, E., Park, Y. J., Qasim, S., Aristel, A., Wilkins, L., Ziafat, K., Silk, H., Linares, L. M., Sullivan, B. & Feng, C. & 18 others, , May 2026, In: Molecular Psychiatry. 31, 5, p. 2727-2738 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Authors' response: Discontinuation of continuous kidney replacement therapy in patients with acute kidney injury: A pilot study
Ice, S., Pellegrino, B., Diab, A., Parravani, A., Poling, M., Sakhuja, A., Kashani, K. & Shawwa, K., Aug 2026, In: Journal of Critical Care. 94, 155596.Research output: Contribution to journal › Letter › peer-review
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Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiograms
Vaid, A., Sharma, J., Jiang, J., Lampert, J., Sawant, A., Argulian, E., Lerakis, S., Tandon, P., Kovatch, P., Powell, C., Cairns, C. B., Nadkarni, G. N. & Kraft, M., Jan 2026, In: eBioMedicine. 123, 106066.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Automating eligibility assessment and enrollment for sugammadex administration within an integrated perioperative workflow
Gabel, E., Murray, S., Grogan, T., Wingert, T. & Hofer, I., 1 Feb 2026, In: JAMIA Open. 9, 1, ooag021.Research output: Contribution to journal › Article › peer-review
Open Access -
Cardiovascular risk stratification using predicted coronary artery calcium score from a machine learning model using EHR data
Takkavatakarn, K., Oh, W., Anand Gownivaripally, P., Nadkarni, G. N. & Chan, L., May 2026, In: Heliyon. 12, 9, e44956.Research output: Contribution to journal › Article › peer-review
Open Access -
ChatGPT Health performance in a structured test of triage recommendations
Ramaswamy, A., Tyagi, A., Hugo, H., Jiang, J., Jayaraman, P., Jangda, M., Te, A. E., Kaplan, S. A., Lampert, J., Freeman, R., Gavin, N., Tewari, A. K., Sakhuja, A., Naved, B., Charney, A. W., Omar, M., Gorin, M. A., Klang, E. & Nadkarni, G. N., May 2026, In: Nature Medicine. 32, 5, p. 1671-1675 5 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Cultivating AI leaders: the role of clinical informatics fellowship in transforming healthcare
Lingam, V., Kannry, J., Khanna, R., Norquist, C., Leu, M. G. & Hron, J. D., Apr 2026, In: The Lancet Regional Health - Americas. 56, 101407.Research output: Contribution to journal › Letter › peer-review
Open Access -
Decoding Natural Language Processing and Large Language Models in Kidney Health
Yetman, H. E. & Chan, L., Jan 2026, In: Clinical Journal of the American Society of Nephrology. 21, 1, p. 183-185 3 p.Research output: Contribution to journal › Editorial
Open Access -
Deep learning model design for ECG-based prediction of sex and ventricular dysfunction: A technical exploration of CNN and transformer architectures
Cohen-Shelly, M., Hochstein, D., Barda, N., Bleiweiss, A., Aflalo, E., Bar, N., Zimlichman, E., Klang, E., Rahman, N., Sela, T., Klempfner, R., Maor, E., Beinart, R., Segev, A., Raanani, E. & Sabbag, A., Feb 2026, In: Heliyon. 12, 2, e44527.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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AI Language Models Struggle with Basic Hospital Data Tasks, Study Finds
4/06/26
1 item of Media coverage
Press/Media
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New Cardiovascular Diseases and Conditions Study Findings Recently Were Reported by Researchers at Icahn School of Medicine at Mount Sinai (Cardiovascular risk stratification using predicted coronary artery calcium score from a machine learning ...)
Oh, W., Nadkarni, G. & Chan, L.
3/06/26
1 item of Media coverage
Press/Media
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Recent Findings from Tel Aviv University Provides New Insights into Machine Learning (Computer-aided Diagnosis of Eyelid Skin Tumors Using Machine Learning)
1/06/26
1 item of Media coverage
Press/Media
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New Hypotension Study Findings Have Been Reported from Icahn School of Medicine at Mount Sinai (PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit)
Jayaraman, P., Nadkarni, G., Parekh, A. & Sakhuja, A.
27/05/26
1 item of Media coverage
Press/Media
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New Sarcoidosis Data Have Been Reported by Researchers at Division of Pulmonary (Clinical and Imaging Abnormalities Associated With Inducible Ventricular Arrhythmias During Electrophysiologic Study in Patients With Cardiac Sarcoidosis and ...)
Kundel, V., Cohen, O., Suarez-Farinas, M., Shah, N., Morgenthau, A. S., Tandon, P. & Al-Taie, Z.
25/05/26
1 item of Media coverage
Press/Media
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Icahn School of Medicine at Mount Sinai Applies for Patent on Methods and Systems for Staging Monitoring and Treating Patients with COPD
21/05/26
1 item of Media coverage
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Mount Sinai experts to present new research on AI model that predicts lung nodule risk, impact of air pollution during pregnancy, and more at ATS 2026 International Conference
Kundel, V., Lo Cascio, C., Shah, N., Varga, A., Rogers, L., Tandon, P. & Kraft, M.
19/05/26
1 item of Media coverage
Press/Media
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HMN 2026: How AI language models struggle with basic hospital data tasks,
18/05/26
1 item of Media coverage
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Mount Sinai Health System and Guyana Ministry of Health Host Seminar on Practical, Responsible Integration of AI in Health Care
Reich, D., Soroush, A. & Timsina, P.
14/05/26
1 item of Media coverage
Press/Media
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AI language models struggle with basic hospital data tasks, study finds
7/05/26 → 8/05/26
3 items of Media coverage
Press/Media