Posts by Amir Safavi
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.
Link: https://doi.org/10.1093/jamia/ocae085 Authors: Vaid, Akhil; Duong, Son Q; Lampert, Joshua; Kovatch, Patricia; Freeman, Robert; Argulian, Edgar; Croft, Lori; Lerakis, Stamatios; Goldman, Martin; Khera, Rohan; Nadkarni, Girish N Abstract: The study developed framework that leverages an open-source Large Language Model (LLM) to enable clinicians to ask plain-language questions about a patient’s entire echocardiogram report history. This…
Read MoreTime-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People With Type 2 Diabetes.
Link: https://doi.org/10.2337/dc23-2274 Authors: Kwak, Soo Heon; Hernandez-Cancela, Ryan B; DiCorpo, Daniel A; Condon, David E; Merino, Jordi; Wu, Peitao; Brody, Jennifer A; Yao, Jie; Guo, Xiuqing; Ahmadizar, Fariba; Meyer, Mariah; Sincan, Murat; Mercader, Josep M; Lee, Sujin; Haessler, Jeffrey; Vy, Ha My T; Lin, Zhaotong; Armstrong, Nicole D; Gu, Shaopeng; Tsao, Noah L; Lange, Leslie…
Read MoreEvaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.
Link: https://doi.org/10.1093/jamia/ocae103 Authors: Glicksberg, Benjamin S; Timsina, Prem; Patel, Dhaval; Sawant, Ashwin; Vaid, Akhil; Raut, Ganesh; Charney, Alexander W; Apakama, Donald; Carr, Brendan G; Freeman, Robert; Nadkarni, Girish N; Klang, Eyal Abstract: Artificial intelligence (AI) and large language models (LLMs) can play a critical role in emergency room operations by augmenting decision-making about patient admission.…
Read MoreTransforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.
Link: https://doi.org/S0735-1097(24)07195-X Authors: Khera, Rohan; Oikonomou, Evangelos K; Nadkarni, Girish N; Morley, Jessica R; Wiens, Jenna; Butte, Atul J; Topol, Eric J Abstract: Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice and research. The exponential rise in technology powered by AI is defining new frontiers in cardiovascular care, with innovations…
Read MoreLarge language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment.
Link: https://doi.org/10.1093/jamia/ocae254 Authors: Savage, Thomas; Wang, John; Gallo, Robert; Boukil, Abdessalem; Patel, Vishwesh; Safavi-Naini, Seyed Amir Ahmad; Soroush, Ali; Chen, Jonathan H Abstract: The inability of large language models (LLMs) to communicate uncertainty is a significant barrier to their use in medicine. Before LLMs can be integrated into patient care, the field must assess methods…
Read MoreDeep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.
Link: https://doi.org/S0735-1097(24)07676-9 Authors: Mayourian, Joshua; Gearhart, Addison; La Cava, William G; Vaid, Akhil; Nadkarni, Girish N; Triedman, John K; Powell, Andrew J; Wald, Rachel M; Valente, Anne Marie; Geva, Tal; Duong, Son Q; Ghelani, Sunil J Abstract: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to detect biventricular pathophysiology. However, AI-ECG analysis remains underexplored in congenital…
Read MoreExtracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.
Link: https://doi.org/10.1093/jamia/ocae260 Authors: Patra, Braja Gopal; Lepow, Lauren A; Kasi Reddy Jagadeesh Kumar, Praneet; Vekaria, Veer; Sharma, Mohit Manoj; Adekkanattu, Prakash; Fennessy, Brian; Hynes, Gavin; Landi, Isotta; Sanchez-Ruiz, Jorge A; Ryu, Euijung; Biernacka, Joanna M; Nadkarni, Girish N; Talati, Ardesheer; Weissman, Myrna; Olfson, Mark; Mann, J John; Zhang, Yiye; Charney, Alexander W; Pathak, Jyotishman Abstract:…
Read MoreClinical factors associated with hospital mortality in critically ill adult COVID-19 patients with AKI requiring CRRT: A multicenter study.
Link: https://doi.org/10.5414/CN111404 Authors: Cama-Olivares, Augusto; Tamhane, Ashutosh; Ortiz-Soriano, Victor; Farrell, Douglas; Wen, Huei Hsun; Takeuchi, Tomonori; Devansh, Patel; Galasso, Francesco; Chen, Jin; Chan, Lili; Tolwani, Ashita J; Nadkarni, Girish N; Neyra, Javier A Abstract: Acute kidney injury (AKI) is a common complication of critically ill COVID-19 patients which is associated with adverse outcomes. We examined…
Read MoreArtificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study.
Link: https://doi.org/S2589-7500(24)00249-8 Authors: Oikonomou, Evangelos K; Vaid, Akhil; Holste, Gregory; Coppi, Andreas; McNamara, Robert L; Baloescu, Cristiana; Krumholz, Harlan M; Wang, Zhangyang; Apakama, Donald J; Nadkarni, Girish N; Khera, Rohan Abstract: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We aimed…
Read MoreAnnouncement: Dr. Girish Nadkarni to Lead AI and Digital Health Innovation
The appointment of Dr. Girish N. Nadkarni as Chair of the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai marks a significant milestone in the integration of artificial intelligence (AI) into modern healthcare. As the first department of its kind in a U.S. medical school, it…
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