Emory University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi et al.
2020 · 728 Zit.
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir A. Amini, Nenad Filipović et al.
2020 · 625 Zit.
AI recognition of patient race in medical imaging: a modelling study
Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al.
2022 · 468 Zit.
On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice
Renana Peres, Martin Schreier, David A. Schweidel et al.
2023 · 445 Zit.
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
Leo Anthony Celi, Jacqueline Cellini, Marie‐Laure Charpignon et al.
2022 · 418 Zit.
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
Travis Zack, Eric Lehman, Mirac Süzgün et al.
2023 · 403 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.
Ethics of large language models in medicine and medical research
Hanzhou Li, John T. Moon, Saptarshi Purkayastha et al.
2023 · 265 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 · 228 Zit.
Ethical considerations in artificial intelligence
Nabile Safdar, John D. Banja, Carolyn C. Meltzer
2019 · 228 Zit.
AI pitfalls and what not to do: mitigating bias in AI
Judy Wawira Gichoya, K.J. Thomas, Leo Anthony Celi et al.
2023 · 215 Zit.
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Sirvan Khalighi, Kartik Reddy, Abhishek Midya et al.
2024 · 213 Zit.
The limits of fair medical imaging AI in real-world generalization
Yuzhe Yang, Haoran Zhang, Judy Wawira Gichoya et al.
2024 · 167 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.