University of San Francisco

Scalable and accurate deep learning with electronic health records

Alvin Rajkomar, Eyal Oren, Kai Chen et al.

2018 · 2.333 Zit.

Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives

Talya Miron‐Shatz, Annie Lau, Chris Paton et al.

2014 · 125 Zit.

Leaving patients to their own devices? Smart technology, safety and therapeutic relationships

Anita Ho, Oliver Quick

2018 · 72 Zit.

Collective intelligence in medical decision-making: a systematic scoping review

Kate Radcliffe, Helena C. Lyson, Jill Barr‐Walker et al.

2019 · 65 Zit.

Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals

Paige Nong, Julia Adler‐Milstein, Nate C. Apathy et al.

2025 · 64 Zit.

Development of a Liver Disease-Specific Large Language Model Chat Interface using Retrieval Augmented Generation

Jin Ge, Steve Sun, Joseph F. Owens et al.

2023 · 41 Zit.

<scp>ChatGPT</scp>, et al … Artificial Intelligence, Authorship, and Medical Publishing

Daniel H. Solomon, Kelli D. Allen, Patricia Katz et al.

2023 · 18 Zit.

The evaluation illusion of large language models in medicine

Monica Agrawal, Irene Y. Chen, Freya Gulamali et al.

2025 · 15 Zit.

WHO’s arrived in 2016! An updated weather forecast for integrated brain tumor diagnosis

Arie Perry

2016 · 13 Zit.

Toward responsible AI governance: Balancing multi-stakeholder perspectives on AI in healthcare

Leon Rozenblit, Amy Price, Anthony Solomonides et al.

2025 · 13 Zit.

Validation of a Digital Pathology–Based Multimodal Artificial Intelligence Biomarker in a Prospective, Real-World Prostate Cancer Cohort Treated with Prostatectomy

Anders Bjartell, Agnieszka Krzyzanowska, Vinnie Y.T. Liu et al.

2025 · 9 Zit.

A scientometric analysis of fairness in health AI literature

Isabelle Rose I. Alberto, Nicole Rose I. Alberto, Yüksel Altınel et al.

2024 · 9 Zit.

Ethical decision-making for AI in mental health: the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework

Andrea Putica, Rahul Khanna, Wiliam Bosl et al.

2025 · 8 Zit.

Closing the Gap Between Machine Learning and Clinical Cancer Care—First Steps Into a Larger World

John Kang, Olivier Morin, Julian C. Hong

2020 · 7 Zit.

Towards responsible artificial intelligence in healthcare—getting real about real-world data and evidence

Eileen Koski, Amar K. Das, Pei-Yun Hsueh et al.

2025 · 5 Zit.