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 · 769 Zit.
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir A. Amini, Nenad Filipović et al.
2020 · 654 Zit.
AI recognition of patient race in medical imaging: a modelling study
Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al.
2022 · 497 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 · 463 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 · 451 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 · 427 Zit.
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee et al.
2020 · 409 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 · 356 Zit.
The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen et al.
2025 · 305 Zit.
Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
Peter Chang, Edward Kuoy, Jack Grinband et al.
2018 · 277 Zit.
Comparison of variable selection methods for clinical predictive modeling
L. Nelson Sanchez‐Pinto, Laura Ruth Venable, John Fahrenbach et al.
2018 · 275 Zit.
Ethics of large language models in medicine and medical research
Hanzhou Li, John T. Moon, Saptarshi Purkayastha et al.
2023 · 271 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 · 243 Zit.
AI pitfalls and what not to do: mitigating bias in AI
Judy Wawira Gichoya, K.J. Thomas, Leo Anthony Celi et al.
2023 · 237 Zit.
Ethical considerations in artificial intelligence
Nabile Safdar, John D. Banja, Carolyn C. Meltzer
2019 · 234 Zit.