Research output per year
Research output per year
Personal profile
Headline
DIRECTOR | Data Science
Fingerprint
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.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
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 -
Machine Learning Multimodal Model for Delirium Risk Stratification
Friedman, J. I., Parchure, P., Cheng, F. Y., Fu, W., Cheertirala, S., Timsina, P., Raut, G., Reina, K., Joseph-Jimerson, J., Mazumdar, M., Freeman, R., Reich, D. L. & Kia, A., 1 May 2025, In: JAMA network open. 8, 5, p. e258874Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
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 Access9 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 Access13 Scopus citations
Press/Media
-
Mount Sinai: AI Model Improves Delirium Prediction, Leading to Better Health Outcomes for Hospitalized Patients
Mazumdar, M., Reich, D., Friedman, J., Kia, M. A. & Timsina, P.
7/05/25 → 8/05/25
2 items of Media coverage
Press/Media
-
AI Model Improves Delirium Prediction, Leading to Better Health Outcomes for Hospitalized Patients
Mazumdar, M., Reich, D., Friedman, J., Kia, M. A. & Timsina, P.
7/05/25
5 items of Media coverage
Press/Media
-
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
-
Nursing and AI: Augmented Intelligence
Reich, D., Kia, M. A. & Timsina, P.
23/01/25
1 item of Media coverage
Press/Media
-
AI Can Help Doctors Make Better Decisions and Save Lives
Kohli-Seth, R., Levin, M., Reich, D., Kia, M. A., Timsina, P. & Ouyang, Y.
15/06/24
1 item of Media coverage
Press/Media