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University of California, San Francisco

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Land: USTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

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Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers

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Artificial Intelligence in Cardiology

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Ensuring Fairness in Machine Learning to Advance Health Equity

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2018 · 1.117 Zit.

Clinical Decision Support Systems for the Practice of Evidence-based Medicine

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

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

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

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2020 · 551 Zit.

The RSNA Pediatric Bone Age Machine Learning Challenge

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

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

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

2023 · 418 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.

The Current and Future State of AI Interpretation of Medical Images

Pranav Rajpurkar, Matthew P. Lungren

2023 · 398 Zit.

Artificial Intelligence for Intraoperative Guidance

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

2020 · 351 Zit.

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

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

2018 · 340 Zit.