OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 18.03.2026, 17:35

Quantitative BioSciences

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Land: USTyp: nonprofit

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students

Tomiko Oskotsky, Ruchika Bajaj, Jillian Burchard et al.

2022 · 20 Zit.

A snapshot of artificial intelligence research 2019–2021: is it replacing or assisting physicians?

Mahmoud Elmahdy, Ronnie Sebro

2023 · 19 Zit.

Racial Equity in Healthcare Machine Learning: Illustrating Bias in Models With Minimal Bias Mitigation

Michael Bartoň, M Hamza, Borna Guevel

2023 · 19 Zit.

Establishing a Data Science Unit in an Academic Medical Center: An Illustrative Model

Manisha Desai, Mary Boulos, Gina M Pomann et al.

2021 · 11 Zit.

Clinician as editor: notes in the era of AI scribes

Sari Altschuler, Ian Huntington, Maria Antoniak et al.

2024 · 10 Zit.

Sex, ethnicity, and race data are often unreported in artificial intelligence and machine learning studies in medicine

Mahmoud Elmahdy, Ronnie Sebro

2023 · 3 Zit.

Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students

Tomiko Oskotsky, Ruchika Bajaj, Jillian Burchard et al.

2021 · 2 Zit.

Beyond the <i>AJR</i>: Comparison of Artificial Intelligence Candidate and Radiologists on Mock Examinations for the Fellow of Royal College of Radiology Part B

Mahmoud Elmahdy, Ronnie Sebro

2023 · 2 Zit.

Don't Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics

Katherine C. Kellogg, Hila Lifshitz‐Assaf, Steven Randazzo et al.

2024 · 1 Zit.

Cyborgs, Centaurs and Self-Automators: The Three Modes of Human-GenAI Knowledge Work and Their Implications for Skilling and the Future of Expertise

Steven Randazzo, Hila Lifshitz-Assaf, Katherine Kellogg et al.

2024 · 1 Zit.

Generative AI Use and Depressive Symptoms Among US Adults

Roy H. Perlis, Faith M. Gunning, Ata Usla et al.

2026 · 1 Zit.

Off‐the‐Shelf Large Language Models for Guiding Pharmacoepidemiological Study Design

Gerard Ompad, Keele Wurst, Darmendra Ramcharran et al.

2025 · 1 Zit.

Artificial Intelligence Research in Africa and the Importance of Recall Concept

Anastassios Pouris, Androniki Thirion

2025 · 0 Zit.

In vivo clinical effectiveness of artificial intelligence screening for acute coronary syndrome: testing real-world performance

Gabrielle Bunney, Kate Miller, Keejeong Ryu et al.

2026 · 0 Zit.

Value of diversity characteristics in predictive modeling: ACS screening as a case study

Gabrielle Bunney, Kate Miller, Kyung Ryu et al.

2025 · 0 Zit.