Tel Aviv University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A Review on Fairness in Machine Learning
Dana Pessach, Erez Shmueli
2022 · 521 Zit.
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
Dana Brin, Vera Sorin, Akhil Vaid et al.
2023 · 316 Zit.
Co-Writing with Opinionated Language Models Affects Users’ Views
Maurice Jakesch, Advait Bhat, Daniel Buschek et al.
2023 · 226 Zit.
Large language model (ChatGPT) as a support tool for breast tumor board
Vera Sorin, Eyal Klang, Miri Sklair‐Levy et al.
2023 · 207 Zit.
Deep Learning for Natural Language Processing in Radiology—Fundamentals and a Systematic Review
Vera Sorin, Yiftach Barash, Eli Konen et al.
2020 · 186 Zit.
Large Language Models and Empathy: Systematic Review
Vera Sorin, Dana Brin, Yiftach Barash et al.
2024 · 135 Zit.
GPT versus Resident Physicians — A Benchmark Based on Official Board Scores
Uriel Katz, Eran Cohen, Eliya Shachar et al.
2024 · 125 Zit.
A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score
Maximiliano Klug, Yiftach Barash, Sigalit Bechler et al.
2019 · 122 Zit.
Evaluating the use of large language model in identifying top research questions in gastroenterology
Adi Lahat, Eyal Shachar, Benjamin Avidan et al.
2023 · 121 Zit.
Machine learning and artificial intelligence in haematology
Roni Shouval, Joshua Fein, Bipin N. Savani et al.
2020 · 120 Zit.
Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis
Roi Anteby, Nir Horesh, Shelly Soffer et al.
2021 · 117 Zit.
Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying
Ali Soroush, Benjamin S. Glicksberg, Eyal Zimlichman et al.
2024 · 115 Zit.
Large language models for generating medical examinations: systematic review
Yaara Artsi, Vera Sorin, Eli Konen et al.
2024 · 102 Zit.
Evaluating the Utility of a Large Language Model in Answering Common Patients’ Gastrointestinal Health-Related Questions: Are We There Yet?
Adi Lahat, Eyal Shachar, Benjamin Avidan et al.
2023 · 96 Zit.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, Kenny Cha, Heang‐Ping Chan et al.
2022 · 88 Zit.