Hebrew University of Jerusalem
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice
Renana Peres, Martin Schreier, David A. Schweidel et al.
2023 · 463 Zit.
Managing extreme AI risks amid rapid progress
Yoshua Bengio, Geoffrey E. Hinton, Andrew Chi-Chih Yao et al.
2024 · 246 Zit.
Artificial intelligence in nursing education: A scoping review
Igal Lifshits, Dennis Rosenberg
2024 · 79 Zit.
On the role of artificial intelligence in medical imaging of COVID-19
Jannis Born, David Beymer, Deepta Rajan et al.
2021 · 62 Zit.
“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs)
Adam Hayes
2025 · 57 Zit.
The Artificial Third: Utilizing ChatGPT in Mental Health
Amir Tal, Zohar Elyoseph, Yuval Haber et al.
2023 · 48 Zit.
Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22
Maurizio Cecconi, Massimiliano Greco, Benjamin Shickel et al.
2025 · 44 Zit.
A historical perspective of biomedical explainable AI research
Luca Malinverno, Vesna Barros, Francesco Ghisoni et al.
2023 · 31 Zit.
Performance of <scp>ChatGPT</scp> in French language Parcours d'Accès Spécifique Santé test and in <scp>OBGYN</scp>
Paul‐Adrien Guigue, Raanan Meyer, Gaetan Thivolle‐Lioux et al.
2023 · 26 Zit.
Conceptualizing Fraudulent Studies as Viruses: New Models for Handling Retractions
Kathleen Montgomery, Amalya L. Oliver
2016 · 19 Zit.
Interest in technology among medical students early in their clinical experience
Alexander Avidan, Charles Weissman, Rachel Yaffa Zisk‐Rony
2021 · 18 Zit.
Performance of ChatGPT in Israeli Hebrew OBGYN national residency examinations
Adiel Cohen, Roie Alter, Naama Lessans et al.
2023 · 18 Zit.
The impact on clinical outcomes after 1 year of implementation of an artificial intelligence solution for the detection of intracranial hemorrhage
Dmitry Kotovich, Gilad Twig, Ze’ev Itsekson-Hayosh et al.
2023 · 18 Zit.
Navigating the AI Landscape in Medical Imaging: A Critical Analysis of Technologies, Implementation, and Implications
Jacob Sosna, Leo Joskowicz, Mor Saban
2025 · 15 Zit.
Empowering Medical Students: Harnessing Artificial Intelligence for Precision Point-of-Care Echocardiography Assessment of Left Ventricular Ejection Fraction
Ziv Dadon, Amir Orlev, Adi Butnaru et al.
2023 · 15 Zit.