Research output per year
Research output per year
Personal profile
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DIRECTOR | Data Science
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Dive into the research topics where Prem Timsina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation
Nguyen, K. A. N., Patel, D., Edalati, M., Sevillano, M., Timsina, P., Freeman, R., Levin, M. A., Reich, D. L. & Kia, A., Feb 2025, In: Journal of Clinical Medicine. 14, 4, 1175.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system
Liou, L., Scott, E., Parchure, P., Ouyang, Y., Egorova, N., Freeman, R., Hofer, I. S., Nadkarni, G. N., Timsina, P., Kia, A. & Levin, M. A., Dec 2024, In: npj Digital Medicine. 7, 1, 149.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation
Tandon, P., Nguyen, K. A. N., Edalati, M., Parchure, P., Raut, G., Reich, D. L., Freeman, R., Levin, M. A., Timsina, P., Powell, C. A., Fayad, Z. A. & Kia, A., Jun 2024, In: Bioengineering. 11, 6, 626.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Evaluating prompt engineering on GPT-3.5’s performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4
Patel, D., Raut, G., Zimlichman, E., Cheetirala, S. N., Nadkarni, G. N., Glicksberg, B. S., Apakama, D. U., Bell, E. J., Freeman, R., Timsina, P. & Klang, E., Dec 2024, In: Scientific Reports. 14, 1, 17341.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room
Glicksberg, B. S., Timsina, P., Patel, D., Sawant, A., Vaid, A., Raut, G., Charney, A. W., Apakama, D., Carr, B. G., Freeman, R., Nadkarni, G. N. & Klang, E., 1 Sep 2024, In: Journal of the American Medical Informatics Association : JAMIA. 31, 9, p. 1921-1928 8 p.Research output: Contribution to journal › Article › peer-review
15 Scopus citations
Press/Media
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Study Data from Icahn School of Medicine at Mount Sinai Provide New Insights into Machine Learning (Electronic-medical-record-driven Machine Learning Predictive Model for Hospital-acquired Pressure Injuries: Development and External Validation)
Levin, M., Reich, D., Kia, M. A. & Timsina, P.
26/03/25
1 item of Media coverage
Press/Media
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Nursing and AI: Augmented Intelligence
Reich, D., Kia, M. A. & Timsina, P.
23/01/25
1 item of Media coverage
Press/Media
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AI Can Help Doctors Make Better Decisions and Save Lives
Kohli-Seth, R., Levin, M., Reich, D., Kia, M. A. & Timsina, P.
15/06/24
1 item of Media coverage
Press/Media
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AI can help doctors make better decisions and save lives
Levin, M., Reich, D., Kohli-Seth, R., Kia, M. A. & Timsina, P.
14/06/24
2 items of Media coverage
Press/Media
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AI Shows Promise in Early Detection of Patient Decline
Kohli-Seth, R., Levin, M., Reich, D., Kia, M. A. & Timsina, P.
14/06/24
1 item of Media coverage
Press/Media