Oregon Health & Science University

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 574 Zit.

How Machine Learning Will Transform Biomedicine

Jeremy Goecks, Vahid Jalili, Laura M. Heiser et al.

2020 · 565 Zit.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 341 Zit.

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient

Rishi P. Singh, Grant L. Hom, Michael D. Abràmoff et al.

2020 · 233 Zit.

Crowdsourcing in health and medical research: a systematic review

Cheng Wang, Larry Han, Gabriella Stein et al.

2020 · 134 Zit.

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 114 Zit.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 112 Zit.

Use of artificial intelligence in critical care: opportunities and obstacles

Michael R. Pinsky, Armando Bedoya, Azra Bihorac et al.

2024 · 104 Zit.

Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology

Ting Fang Tan, Arun James Thirunavukarasu, J. Peter Campbell et al.

2023 · 97 Zit.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 92 Zit.

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Andrew D. Trister, Diana S.M. Buist, Christoph I. Lee

2017 · 90 Zit.

Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision

Jen Bichel‐Findlay, Sabine Koch, John Mantas et al.

2022 · 87 Zit.

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

Elysse S. Tom, Pearse A. Keane, Marian Blazes et al.

2020 · 86 Zit.

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Annessa Kernberg, Jeffrey A. Gold, Vishnu Mohan

2024 · 84 Zit.

The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology

Shaunak K. Bakshi, Shawn R. Lin, Daniel Shu Wei Ting et al.

2020 · 76 Zit.