The University of Texas MD Anderson Cancer Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
Micah Sheller, Brandon Edwards, G. Anthony Reina et al.
2020 · 1.253 Zit.
The next generation of evidence-based medicine
Vivek Subbiah
2023 · 493 Zit.
Bias in artificial intelligence algorithms and recommendations for mitigation
Lama Nazer, Razan Zatarah, Shai Waldrip et al.
2023 · 492 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 341 Zit.
A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi et al.
2023 · 333 Zit.
Structured Reporting in Radiology
Dhakshinamoorthy Ganeshan, Phuong-Anh T. Duong, Linda Probyn et al.
2017 · 230 Zit.
The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen et al.
2025 · 226 Zit.
The Advent of Generative Language Models in Medical Education
Mert Karabacak, Burak Berksu Ozkara, Konstantinos Margetis et al.
2023 · 191 Zit.
GPT-4: a new era of artificial intelligence in medicine
Ethan Waisberg, Joshua Ong, Mouayad Masalkhi et al.
2023 · 176 Zit.
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions
Luciano M. Prevedello, Safwan S. Halabi, George Shih et al.
2019 · 161 Zit.
Data Sharing Under the General Data Protection Regulation
Antonia Vlahou, Dara Hallinan, Rolf Apweiler et al.
2021 · 121 Zit.
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 114 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 112 Zit.
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal et al.
2025 · 111 Zit.
Google DeepMind’s gemini AI versus ChatGPT: a comparative analysis in ophthalmology
Mouayad Masalkhi, Joshua Ong, Ethan Waisberg et al.
2024 · 105 Zit.