OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 12.03.2026, 02:56

University of California, San Francisco

287.864 Arbeiten46.323.165 Zitationen
Land: USTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Scalable and accurate deep learning with electronic health records

Alvin Rajkomar, Eyal Oren, Kai Chen et al.

2018 · 2.250 Zit.

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany et al.

2018 · 1.265 Zit.

Artificial Intelligence in Cardiology

Kipp W. Johnson, Jessica Torres Soto, Benjamin S. Glicksberg et al.

2018 · 1.105 Zit.

Ensuring Fairness in Machine Learning to Advance Health Equity

Alvin Rajkomar, Michaela Hardt, Michael Howell et al.

2018 · 1.052 Zit.

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.

2021 · 657 Zit.

Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

Stefano A. Bini

2018 · 641 Zit.

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

Beau Norgeot, Giorgio Quer, Brett K. Beaulieu‐Jones et al.

2020 · 531 Zit.

The RSNA Pediatric Bone Age Machine Learning Challenge

Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al.

2018 · 440 Zit.

The Current and Future State of AI Interpretation of Medical Images

Pranav Rajpurkar, Matthew P. Lungren

2023 · 376 Zit.

ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity

Christy Boscardin, Brian C. Gin, Polo Black Golde et al.

2023 · 374 Zit.

Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care

Abhinav Sharma, Robert A. Harrington, Mark McClellan et al.

2018 · 334 Zit.

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri et al.

2020 · 329 Zit.

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Jean Feng, Rachael V. Phillips, Ivana Malenica et al.

2022 · 323 Zit.

Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review

Albert T. Young, Dominic Amara, A. Bhattacharya et al.

2021 · 317 Zit.

Machine Learning and the Future of Cardiovascular Care

Giorgio Quer, Ramy Arnaout, Michael Henne et al.

2021 · 316 Zit.