Benjamin Glicksberg
Icahn School of Medicine at Mount Sinai
H-index: 47
North America-United States
Top articles of Benjamin Glicksberg
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Unveiling Recent Trends in Biomedical Artificial Intelligence Research: Analysis of Top-Cited Papers | Benjamin S Glicksberg Eyal Klang | 2024/1/17 | |
Large language models in simplifying radiological reports: systematic review | Yaara R Artsi Vera Sorin Eli Konen Benjamin S Glicksberg Girish Nadkarni | 2024 | |
Large language models for generating medical examinations: systematic review | Yaara Artsi Vera Sorin Eli Konen Benjamin S Glicksberg Girish Nadkarni | 2024/3/29 | |
Generative Large Language Models are autonomous practitioners of evidence-based medicine | arXiv preprint arXiv:2401.02851 | Akhil Vaid Joshua Lampert Juhee Lee Ashwin Sawant Donald Apakama | 2024/1/5 |
Artificial intelligence in general internal medicine | Adham El Sherbini Benjamin S Glicksberg Chayakrit Krittanawong | 2024/1/1 | |
Artificial intelligence in preventive cardiology | Adham El Sherbini Robert S Rosenson Mahmoud Al Rifai Hafeez Ul Hassan Virk Zhen Wang | 2024/3/7 | |
Artificial intelligence in primary care | Adham El Sherbini Benjamin S Glicksberg Chayakrit Krittanawong | 2024/1/1 | |
Utilizing large language models in breast cancer management: systematic review | Vera Sorin Benjamin S Glicksberg Yaara Artsi Yiftach Barash Eli Konen | 2024/3 | |
Exploring the role of Large Language Models (LLMs) in hematology: a systematic review of applications, benefits, and limitations | Aya Mudrik Girish N Nadkarni Orly Efros Benjamin S Glicksberg Eyal Klang | 2024 | |
Large Language Models Are Poor Medical Coders—Benchmarking of Medical Code Querying | NEJM AI | Ali Soroush Benjamin S Glicksberg Eyal Zimlichman Yiftach Barash Robert Freeman | 2024/4/19 |
An Update on the Use of Artificial Intelligence in Cardiovascular Medicine | Shiavax J Rao Shaikh B Iqbal Ameesh Isath Hafeez Ul Hassan Virk Zhen Wang | 2024/2/9 | |
Accurate prediction of neurologic changes in critically ill infants using pose AI | medRxiv | Alec Gleason Florian Richter Nathalia Beller Naveen Arivazhagan Rui Feng | 2024 |
Utilizing Natural Language Processing and Large Language Models in the Diagnosis and Prediction of Infectious Diseases: A Systematic Review | Mahmud Omar Dana Brin Benjamin Glicksberg Eyal Klang | 2024/4/6 | |
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19 | Artificial Intelligence in Medicine | Wonsuk Oh Pushkala Jayaraman Pranai Tandon Udit S Chaddha Patricia Kovatch | 2024/2/1 |
Pharmacogenomics Guided Spaceflight: the intersection between space-flown drugs and space genes | bioRxiv | Theodore M Nelson Julianna K Rose Claire E Walter Gresia L Cervantes-Navarro Caleb M Schmidt | 2024 |
Unlocking the potential of large language models in healthcare: navigating the opportunities and challenges | Idit Tessler Tzahi Yamin Hadar Peeri Eran E Alon Eyal Zimlichman | 2024/4 | |
Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review | Adham H El-Sherbini Hafeez Ul Hassan Virk Zhen Wang Benjamin S Glicksberg Chayakrit Krittanawong | 2023/5/23 | |
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection | Communications Medicine | Ishan Paranjpe Pushkala Jayaraman Chen-Yang Su Sirui Zhou Steven Chen | 2023/6/12 |
How Large Language Models Perform on the United States Medical Licensing Examination: A Systematic Review | Dana Brin Vera Sorin Eli Konen Girish Nadkarni Benjamin S Glicksberg | 2023/9/3 | |
Implications of the use of artificial intelligence predictive models in health care settings: A simulation study | Annals of Internal Medicine | Akhil Vaid Ashwin Sawant Mayte Suarez-Farinas Juhee Lee Sanjeev Kaul | 2023/10 |
Co-Authors
