Harvard–MIT Division of Health Sciences and Technology

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Matthieu Komorowski, Leo Anthony Celi, Omar Badawi et al.

2018 · 1.174 Zit.

Artificial intelligence for multimodal data integration in oncology

Jana Lipková, Richard J. Chen, Bowen Chen et al.

2022 · 634 Zit.

Guidelines for reinforcement learning in healthcare

Omer Gottesman, Fredrik Johansson, Matthieu Komorowski et al.

2018 · 356 Zit.

Germany’s digital health reforms in the COVID-19 era: lessons and opportunities for other countries

Sara Gerke, Ariel Dora Stern, Timo Minssen

2020 · 193 Zit.

Governing knowledge in the scientific community: Exploring the role of retractions in biomedicine

Jeffrey L. Furman, Kyle Jensen, Fiona Murray

2012 · 155 Zit.

The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model

David M. Levine, Rudraksh Tuwani, Benjamin Kompa et al.

2023 · 107 Zit.

APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support

Jethro C.C. Kwong, Adree Khondker, Katherine Lajkosz et al.

2023 · 106 Zit.

Equity in essence: a call for operationalising fairness in machine learning for healthcare

Judy Wawira Gichoya, Liam G. McCoy, Leo Anthony Celi et al.

2021 · 106 Zit.

Demographic bias in misdiagnosis by computational pathology models

Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson et al.

2024 · 92 Zit.

The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study

David M. Levine, Rudraksh Tuwani, Benjamin Kompa et al.

2024 · 85 Zit.

Global healthcare fairness: We should be sharing more, not less, data

Kenneth P. Seastedt, Patrick Schwab, Zach O’Brien et al.

2022 · 85 Zit.

To do no harm — and the most good — with AI in health care

Carey Beth Goldberg, Laura Adams, David Blumenthal et al.

2024 · 69 Zit.

The clinical artificial intelligence department: a prerequisite for success

Christopher V. Cosgriff, David J. Stone, Gary E. Weissman et al.

2020 · 50 Zit.

Big data and machine learning in critical care: Opportunities for collaborative research

Antonio Núñez Reiz, Fernando Martínez‐Sagasti, Manuel Álvarez González et al.

2018 · 37 Zit.

Bias and Non-Diversity of Big Data in Artificial Intelligence: Focus on Retinal Diseases

Cris Martin P. Jacoba, Leo Anthony Celi, Anja Lorch et al.

2023 · 34 Zit.