reviewTop 1% cited
Artificial Intelligence in Surgery: Promises and Perils
Annals of Surgery · 2018 · Vol. 268(1) · pp. 70–76
Daniel A. Hashimoto✉(Massachusetts General Hospital)Guy Rosman(Massachusetts Institute of Technology)Daniela Rus(Massachusetts Institute of Technology)Ozanan R. Meireles✉(Massachusetts General Hospital)
Abstract
Surgeons are well positioned to help integrate AI into modern practice. Surgeons should partner with data scientists to capture data across phases of care and to provide clinical context, for AI has the potential to revolutionize the way surgery is taught and practiced with the promise of a future optimized for the highest quality patient care.
Artificial Intelligence in Healthcare and EducationSurgical Simulation and TrainingRadiomics and Machine Learning in Medical ImagingArtificial intelligenceMedicineContext (archaeology)Big dataApplications of artificial intelligenceAnalyticsQuality (philosophy)Deep learningClinical PracticeData science
MeSH terms
Artificial IntelligenceHumansPhysician's RoleSurgical Procedures, OperativeSurgeons
Funding
- Massachusetts General Hospital
- National Institutes of Health
Citations
1,261
FWCI
24.53
field-weighted impact
References
68
Percentile
99%
vs. same field & year
Citations per year
References
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