The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
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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“Humans are not only incapable of this level of exposure or retention, but the magnitude has also created substantial levels of stress-induced mental illness among learners (57).”
From Accessing Artificial Intelligence for Clinical Decision-Making (2021) · cites this paper as [57]
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Cites
Identification of type 2 diabetes subgroups through topological analysis of patient similarity
Li, L., Cheng, W., Glicksberg, B. S., Gottesman, O., Tamler, R., Chen, R., Böttinger, E. P., & Dudley, J. T. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa9364 · Cited by 554
Does Machine Learning Automate Moral Hazard and Error?
Mullainathan, S., & Obermeyer, Z. (2017) · American Economic Review · doi:10.1257/aer.p20171084 · Cited by 156
Self-citationObermeyer, Z., Cohn, B., Wilson, M., Jena, A. B., & Cutler, D. (2017) · BMJ · doi:10.1136/bmj.j239 · Cited by 103
Self-citationComputationally Generated Cardiac Biomarkers for Risk Stratification After Acute Coronary Syndrome
Syed, Z., Stultz, C. M., Scirica, B. M., & Guttag, J. V. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002557 · Cited by 31
Research works printed but not linked: 1
- Institute of Medicine. Improving diagnosis in health care. Washington, DC: National Academies Press, 2015.
Cited by
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Rajkomar, A., Dean, J., & Kohane, I. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1814259 · Cited by 4,579
Artificial intelligence in retina
Schmidt-Erfurth, U., Sadeghipour, A., Gerendas, B. S., Waldstein, S. M., & Bogunović, H. (2018) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2018.07.004 · Cited by 779
Burrell, J., & Fourcade, M. (2021) · Annual Review of Sociology · doi:10.1146/annurev-soc-090820-020800 · Cited by 554
Patient apprehensions about the use of artificial intelligence in healthcare
Richardson, J. P., Smith, C., Curtis, S., Watson, S., Zhu, X., Barry, B., & Sharp, R. R. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00509-1 · Cited by 424
Machine learning for real-time prediction of complications in critical care: a retrospective study
Meyer, A., Zverinski, D., Pfahringer, B., Kempfert, J., Kuehne, T., Sündermann, S. H., Stamm, C., Hofmann, T., Falk, V., & Eickhoff, C. (2018) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(18)30300-x · Cited by 350
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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