NEJM AI 2023 — papers
The works of NEJM AI published in 2023 that our library holds: 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- Use of GPT-4 to Diagnose Complex Clinical Cases ↗Alexander Viktor Eriksen, Sören Möller, Jesper Ryg197 citations
- Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims ↗Kevin Wu, Eric Wu, Brandon Theodorou et al.98 citations
- Why We Support and Encourage the Use of Large Language Models in NEJM AI Submissions ↗Daphne Koller, Andrew L. Beam, Arjun Kumar Manrai et al.57 citations
- Injecting Artificial Intelligence into Medicine ↗Isaac S. Kohane35 citations
- Development Pipeline and Geographic Representation of Trials for Artificial Intelligence/Machine Learning–Enabled Medical Devices (2010 to 2023) ↗Miquel Serra‐Burriel, Luca Locher, Kerstin Noëlle Vokinger19 citations
- Patient Portal ↗Carey Beth Goldberg3 citations
- High-Impact Medical Journals Reflect Negative Sentiment Toward Psychiatry ↗Roy H. Perlis, David Shumway Jones2 citations
All works of the year (7)
- Use of GPT-4 to Diagnose Complex Clinical Cases ↗Alexander Viktor Eriksen, Sören Möller, Jesper Ryg197 citations
- Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims ↗Kevin Wu, Eric Wu, Brandon Theodorou et al.98 citations
- Why We Support and Encourage the Use of Large Language Models in NEJM AI Submissions ↗Daphne Koller, Andrew L. Beam, Arjun Kumar Manrai et al.57 citations
- Injecting Artificial Intelligence into Medicine ↗Isaac S. Kohane35 citations
- Development Pipeline and Geographic Representation of Trials for Artificial Intelligence/Machine Learning–Enabled Medical Devices (2010 to 2023) ↗Miquel Serra‐Burriel, Luca Locher, Kerstin Noëlle Vokinger19 citations
- Patient Portal ↗Carey Beth Goldberg3 citations
- High-Impact Medical Journals Reflect Negative Sentiment Toward Psychiatry ↗Roy H. Perlis, David Shumway Jones2 citations
Works with our summary in our library (1)
- Can large language models provide useful feedback on research papers? A large-scale empirical analysisNEJM AIWeixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
Top topics
Language models & pretraining (1)
Fields
Arts and Humanities (1)Computer Science (1)Decision Sciences (1)
Top authors
🧑🔬Daniel A. McFarland1 work here · 332 citations🧑🔬Hancheng Cao1 work here · 332 citations🧑🔬James Zou1 work here · 332 citations🧑🔬Siyu He1 work here · 332 citations🧑🔬Weixin Liang1 work here · 332 citations🧑🔬Xinyu Yang1 work here · 332 citations🧑🔬Yuhui Zhang1 work here · 332 citations
Top institutions
🎓Northwestern UniversityEvanston ·
United States1 work here🎓Cornell UniversityIthaca ·
United States1 work here🎓Stanford UniversityStanford ·
United States1 work here
This page in Markdown → https://md.research.elamur.ai/free/en/venues/nejm-ai/2023/