Harnessing Moravec’s paradox in health care: a new era of collaborative intelligence
Abstract
AbstractArtificial intelligence excels at complex data analytics, yet struggles with nuanced, sensorimotor tasks that humans perform almost effortlessly - a dichotomy encapsulated by Moravec's paradox. By strategically harnessing these complementary strengths, health care can usher in an era of collaborative intelligence, optimizing data-intensive workflows, such as clinical trial enrollment, and creating more patient-centric models of care.
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- Authors
- Loaiza-Bonilla, A., & Penberthy, S.
- Affiliations
- Massive Bio, New York
- Google (United States) (US)
- Venue
- NEJM AI
- Publisher
- Massachusetts Medical Society
- Published
- 2025-04-24
- Volume
- 2
- Issue
- 5
- Pages
- AIp2500005-AIp2500005
- ISSN
- 2836-9386 (ISSN-L)
- OpenAlex
- W4409767668
- Cited by
- 4
- References
- 12
- Citations by year
- 2026: 4
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NEJM AI (publishedVersion)
- PubMed (publishedVersion)
- 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
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in healthcare, collaborative intelligence, human-AI collaboration
- MeSH terms
- Artificial Intelligence, Cooperative Behavior, Delivery of Health Care, Humans
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