The University of Texas Southwestern Medical Center
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge
Yunxiang Li, Zihan Li, Kai Zhang et al.
2023 · 443 Zit.
Using AI-generated suggestions from ChatGPT to optimize clinical decision support
Siru Liu, Aileen P. Wright, Barron L. Patterson et al.
2023 · 391 Zit.
Evaluating large language models on medical evidence summarization
Liyan Tang, Zhaoyi Sun, Betina Idnay et al.
2023 · 349 Zit.
Interporous Hydroxyapatite as a Bone Graft Substitute in Tibial Plateau Fractures
Robert W. Bucholz, Ann Carlton, Ralph E. Holmes
1989 · 332 Zit.
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti et al.
2024 · 304 Zit.
The Legal And Ethical Concerns That Arise From Using Complex Predictive Analytics In Health Care
I. Glenn Cohen, Ruben Amarasingham, Anand Shah et al.
2014 · 302 Zit.
A critical assessment of using ChatGPT for extracting structured data from clinical notes
Jingwei Huang, Donghan M. Yang, Ruichen Rong et al.
2024 · 227 Zit.
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude
Merel Huisman, Erik Ranschaert, William Parker et al.
2021 · 222 Zit.
An introduction to deep learning in medical physics: advantages, potential, and challenges
Chenyang Shen, Dan Nguyen, Zhiguo Zhou et al.
2020 · 184 Zit.
A tale of two citations
Mounir Errami, Harold R. Garner
2008 · 174 Zit.
An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education
Merel Huisman, Erik Ranschaert, William Parker et al.
2021 · 132 Zit.
Development and Validation of Machine Learning–Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis
Matthew W. Segar, Byron C. Jaeger, Kershaw V. Patel et al.
2021 · 113 Zit.
Clinical implementation of AI technologies will require interpretable AI models
Xun Jia, Lei Ren, Jing Cai
2019 · 111 Zit.
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare
Yifan Peng, Bradley Malin, Justin F. Rousseau et al.
2025 · 108 Zit.
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
Qiao Jin, Fangyuan Chen, Yiliang Zhou et al.
2024 · 106 Zit.