Mass General Brigham
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Xueyan Mei, Hao-Chih Lee, Kaiyue Diao et al.
2020 · 1.084 Zit.
Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study
Arya Rao, Michael Pang, John Kim et al.
2023 · 376 Zit.
The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen et al.
2025 · 286 Zit.
Evaluating GPT as an Adjunct for Radiologic Decision Making: GPT-4 Versus GPT-3.5 in a Breast Imaging Pilot
Arya Rao, John Kim, Meghana Kamineni et al.
2023 · 270 Zit.
Use of Artificial Intelligence Chatbots for Cancer Treatment Information
Shan Chen, Benjamin H. Kann, Michael B. Foote et al.
2023 · 214 Zit.
Building the Partners HealthCare Biobank at Partners Personalized Medicine: Informed Consent, Return of Research Results, Recruitment Lessons and Operational Considerations
Elizabeth W. Karlson, Natalie Boutin, Alison G. Hoffnagle et al.
2016 · 206 Zit.
When Machines Think: Radiology’s Next Frontier
Keith J. Dreyer, J. Raymond Geis
2017 · 181 Zit.
Artificial Intelligence in Health Care: Current Applications and Issues
Chan-Woo Park, Sung Wook Seo, Noeul Kang et al.
2020 · 154 Zit.
Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency
Jong Seok Ahn, Shadi Ebrahimian, Shaunagh McDermott et al.
2022 · 127 Zit.
Toward a responsible future: recommendations for AI-enabled clinical decision support
Steven E. Labkoff, Bilikis Oladimeji, Joseph Kannry et al.
2024 · 126 Zit.
Automated Detection Using Natural Language Processing of Radiologists Recommendations for Additional Imaging of Incidental Findings
Sayon Dutta, William J. Long, David F.M. Brown et al.
2013 · 100 Zit.
Speech recognition for clinical documentation from 1990 to 2018: a systematic review
Suzanne V. Blackley, Jessica Huynh, Liqin Wang et al.
2018 · 89 Zit.
National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018
David C. Classen, A Jay Holmgren, Zoe Co et al.
2020 · 82 Zit.
Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records
Zongqi Xia, E.A. Secor, Lori B. Chibnik et al.
2013 · 81 Zit.
Clinical decision support alert malfunctions: analysis and empirically derived taxonomy
Adam Wright, Angela Ai, Joan S. Ash et al.
2017 · 80 Zit.