The premise, promise, and perils of artificial intelligence in critical care cardiology N Huerta, SJ Rao, A Isath, Z Wang, BS Glicksberg, C Krittanawong Progress in Cardiovascular Diseases, 2024 | | 2024 |
ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine SJ Rao, A Isath, P Krishnan, JA Tangsrivimol, HUH Virk, Z Wang, ... Journal of Medical Systems 48 (1), 59, 2024 | | 2024 |
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room BS Glicksberg, P Timsina, D Patel, A Sawant, A Vaid, G Raut, ... Journal of the American Medical Informatics Association, ocae103, 2024 | | 2024 |
Large language models are poor medical coders—benchmarking of medical code querying A Soroush, BS Glicksberg, E Zimlichman, Y Barash, R Freeman, ... NEJM AI 1 (5), AIdbp2300040, 2024 | 8* | 2024 |
Accurate prediction of neurologic changes in critically ill infants using pose AI A Gleason, F Richter, N Beller, N Arivazhagan, R Feng, E Holmes, ... medRxiv, 2024 | | 2024 |
Utilizing natural language processing and large language models in the diagnosis and prediction of infectious diseases: A Systematic Review M Omar, D Brin, B Glicksberg, E Klang American Journal of Infection Control, 2024 | 3 | 2024 |
Unlocking the potential of large language models in healthcare: navigating the opportunities and challenges I Tessler, T Yamin, H Peeri, EE Alon, E Zimlichman, BS Glicksberg, ... Future Medicine AI, FMAI13, 2024 | | 2024 |
Large language models for generating medical examinations: systematic review Y Artsi, V Sorin, E Konen, BS Glicksberg, G Nadkarni, E Klang BMC Medical Education 24 (1), 354, 2024 | 5 | 2024 |
Utilizing large language models in breast cancer management: systematic review V Sorin, BS Glicksberg, Y Artsi, Y Barash, E Konen, GN Nadkarni, E Klang Journal of Cancer Research and Clinical Oncology 150 (3), 140, 2024 | 3 | 2024 |
Artificial intelligence in preventive cardiology A El Sherbini, RS Rosenson, M Al Rifai, HUH Virk, Z Wang, S Virani, ... Progress in Cardiovascular Diseases, 2024 | 5 | 2024 |
An Update on the Use of Artificial Intelligence in Cardiovascular Medicine SJ Rao, SB Iqbal, A Isath, HUH Virk, Z Wang, BS Glicksberg, ... Hearts 5 (1), 91-104, 2024 | | 2024 |
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19 W Oh, P Jayaraman, P Tandon, US Chaddha, P Kovatch, AW Charney, ... Artificial Intelligence in Medicine 148, 102750, 2024 | 1 | 2024 |
Unveiling Recent Trends in Biomedical Artificial Intelligence Research: Analysis of Top-Cited Papers BS Glicksberg, E Klang Applied Sciences 14 (2), 785, 2024 | | 2024 |
Generative Large Language Models are autonomous practitioners of evidence-based medicine A Vaid, J Lampert, J Lee, A Sawant, D Apakama, A Sakhuja, A Soroush, ... arXiv preprint arXiv:2401.02851, 2024 | 4 | 2024 |
Deep Learning for Contrast Enhanced Mammography-a Systematic Review V Sorin, M Sklair-Levy, BS Glicksberg, E Konen, GN Nadkarni, E Klang medRxiv, 2024.05. 13.24307271, 2024 | | 2024 |
Exploring the role of Large Language Models (LLMs) in hematology: a systematic review of applications, benefits, and limitations A Mudrik, GN Nadkarni, O Efros, BS Glicksberg, E Klang, S Soffer medRxiv, 2024.04. 26.24306358, 2024 | | 2024 |
Pharmacogenomics Guided Spaceflight: the intersection between space-flown drugs and space genes TM Nelson, JK Rose, CE Walter, GL Cervantes-Navarro, CM Schmidt, ... bioRxiv, 2024.01. 16.575951, 2024 | | 2024 |
Large language models in simplifying radiological reports: systematic review YR Artsi, V Sorin, E Konen, BS Glicksberg, G Nadkarni, E Klang medRxiv, 2024.01. 05.24300884, 2024 | 1 | 2024 |
Artificial intelligence in general internal medicine A El Sherbini, BS Glicksberg, C Krittanawong Artificial Intelligence in Clinical Practice, 15-24, 2024 | | 2024 |
Artificial intelligence in primary care A El Sherbini, BS Glicksberg, C Krittanawong Artificial Intelligence in Clinical Practice, 1-13, 2024 | 1 | 2024 |