Eyal Zimlichman
Tel Aviv University · IL
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score
2019 · 122 Zit. · Journal of General Internal Medicine
Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying
2024 · 116 Zit. · NEJM AI
Predicting In-Hospital Mortality at Admission to the Medical Ward: A Big-Data Machine Learning Model
2020 · 36 Zit. · The American Journal of Medicine
Evaluating prompt engineering on GPT-3.5’s performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4
2024 · 27 Zit. · Scientific Reports
Comparison of deep learning models for natural language processing-based classification of non-English head CT reports
2020 · 27 Zit. · Neuroradiology
ChatGPT’s adherence to otolaryngology clinical practice guidelines
2024 · 18 Zit. · European Archives of Oto-Rhino-Laryngology
BERT for the Processing of Radiological Reports: An Attention-based Natural Language Processing Algorithm
2021 · 15 Zit. · Academic Radiology
Assessing GPT-3.5 and GPT-4 in Generating International Classification of Diseases Billing Codes
2023 · 11 Zit. · medRxiv
The Limits of Prompt Engineering in Medical Problem-Solving: A Comparative Analysis with ChatGPT on calculation based USMLE Medical Questions
2023 · 10 Zit. · medRxiv
Randomized Controlled Trials Evaluating Artificial Intelligence in Cardiovascular Care
2025 · 10 Zit. · JACC Advances
Revolutionizing patient safety with artificial intelligence: the potential of natural language processing and large language models
2023 · 10 Zit. · International Journal for Quality in Health Care
Algorithmic prediction of failure modes in healthcare
2020 · 9 Zit. · International Journal for Quality in Health Care
Alerting on mortality among patients discharged from the emergency department: a machine learning model
2020 · 9 Zit. · Postgraduate Medical Journal
Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections
2023 · 4 Zit. · BJR|Open
Unlocking the potential of large language models in healthcare: navigating the opportunities and challenges
2024 · 2 Zit. · Future Medicine AI