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Stanford Medicine

57.750 Arbeiten5.991.536 Zitationen
Land: USTyp: healthcare

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.