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Lost in thought—the limits of the human mind and the future of medicine
Open accessAbstract
Interview with Dr. Ziad Obermeyer on how collaboration between doctors and computers will help improve medical care. (11:26)Download The complexity of medicine now exceeds the capacity of the human mind. Computers are the solution, but using them to manage this complexity will require fundamental changes in the way we think about thinking, and in the structure of medical education and research.
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Metadata
- Authors
- Obermeyer, Z., & Lee, T. H.
- Affiliations
- Brigham and Women's Hospital (US)
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2017-09-28
- Volume
- 377
- Issue
- 13
- Pages
- 1209-1211
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC5754014
- OpenAlex
- W2758348074
- Cited by
- 252
- References
- 4
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 30 · 2023: 31 · 2022: 25 · 2021: 31 · 2020: 33 · 2019: 28 · 2018: 39 · 2017: 1
- FWCI
- 16.08
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (DP5OD012161)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Keywords
- artificial intelligence in healthcare, human-computer collaboration, limits of human cognition, clinical complexity, medical education, medical research, future of medicine, clinical decision support
- MeSH terms
- Machine Learning, Algorithms, Artificial Intelligence, Decision Making, Forecasting, Humans, Medicine, Thinking, Datasets as Topic
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