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Collaborations and top research areas from the last five years
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Deep Needles and Shallow Veins. Ultrasound Estimation of Internal Jugular Mid-Vein and Posterior Wall Depth During Central Line Placement in Trendelenburg Position
Olayode, A., Oropello, J., Shittu, A. & Kohli-Seth, R., Mar 2026, In: Journal of Intensive Care Medicine. 41, 3, p. 253-259 7 p.Research output: Contribution to journal › Article › peer-review
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Organization and Management of Critical Care Services: Achieving What Most Hospitals Need but Struggle to Build
Pastores, S. M. & Oropello, J. M., Apr 2026, In: Critical Care Clinics. 42, 2, p. xiii-xvResearch output: Contribution to journal › Editorial
Open Access -
Rapid Adoption and Deadoption: What IV Vitamin C Utilization Reveals About Evidence Translation in Modern Critical Care
Oropello, J. M., Mar 2026, In: Critical Care Medicine. 54, 3, p. 676-678 3 p.Research output: Contribution to journal › Editorial
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NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrition in Mechanically Ventilated Patients
Jangda, M., Patel, J., Vaid, A., Gill, J., McCarthy, P., Desman, J., Gupta, R., Patel, D., Kavi, N., Bakare, S., Klang, E., Freeman, R., Manasia, A., Oropello, J., Chan, L., Suarez-Farinas, M., Charney, A. W., Kohli-Seth, R., Nadkarni, G. N. & Sakhuja, A., Dec 2025, In: Nature Communications. 16, 1, 11189.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning
Oh, W., Veshtaj, M., Sawant, A., Agrawal, P., Gomez, H., Suarez-Farinas, M., Oropello, J., Kohli-Seth, R., Kashani, K., Kellum, J. A., Nadkarni, G. & Sakhuja, A., Dec 2025, In: Critical Care. 29, 1, 212.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
Press/Media
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Researchers from Icahn School of Medicine at Mount Sinai Detail Findings in Sepsis (Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Causal Machine Learning Approach)
Oh, W., Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Kovatch, P., Chan, L., Charney, A., Oropello, J., Hofer, I., Sakhuja, A., Tandon, P., Al-Taie, Z. & Kraft, M.
9/01/26
1 item of Media coverage
Press/Media
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HMN 2026: How AI could help predict nutrition risks in ICU patients
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
3/01/26 → 5/01/26
2 items of Media coverage
Press/Media
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Early identification of nutrition risk in ICU patients using artificial intelligence
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A., Klang, E. & Patel, M.
22/12/25 → 24/12/25
5 items of Media coverage
Press/Media
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AI Could Help Predict Nutrition Risks in ICU Patients, Study Finds
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
22/12/25 → 23/12/25
4 items of Media coverage
Press/Media
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AI Could Help Predict Nutrition Risks in ICU Patients, Study Finds
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
22/12/25
1 item of Media coverage
Press/Media