Stanford Medicine
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Shifting machine learning for healthcare from development to deployment and from models to data
Angela Zhang, Lei Xing, James Zou et al.
2022 · 385 Zit.
Testing and Evaluation of Health Care Applications of Large Language Models
Suhana Bedi, Yutong Liu, Lucy Orr-Ewing et al.
2024 · 376 Zit.
Large language models propagate race-based medicine
Jesutofunmi A. Omiye, Jenna Lester, Simon Spichak et al.
2023 · 324 Zit.
Almanac — Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Rohan Shad, Akash Chaurasia et al.
2024 · 309 Zit.
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review
Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo‐Moreno et al.
2020 · 306 Zit.
The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen et al.
2025 · 285 Zit.
Ethical and regulatory challenges of large language models in medicine
Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa et al.
2024 · 249 Zit.
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine
Thomas Savage, Ashwin Nayak, Robert Gallo et al.
2024 · 216 Zit.
Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages
Patricia García, P. Stephen, Shreya Shah et al.
2024 · 206 Zit.
Digital twins for predictive oncology will be a paradigm shift for precision cancer care
Tina Hernandez‐Boussard, Paul Macklin, Emily J. Greenspan et al.
2021 · 201 Zit.
Developing a delivery science for artificial intelligence in healthcare
Ron Li, Steven M. Asch, Nigam H. Shah
2020 · 181 Zit.
Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations
Eric Strong, Alicia DiGiammarino, Yingjie Weng et al.
2023 · 162 Zit.
Training confounder-free deep learning models for medical applications
Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
2020 · 153 Zit.
External validation of AI models in health should be replaced with recurring local validation
Alexey Youssef, Michael Pencina, Anshul Thakur et al.
2023 · 143 Zit.
A Path for Translation of Machine Learning Products into Healthcare Delivery
Mark Sendak, Joshua D’Arcy, Sehj Kashyap et al.
2020 · 140 Zit.