Plastic & Reconstructive Surgery · 2023 · 21 citations · 44 references
ComputingPlastic SurgerySurgeryArtificial IntelligenceClinical Decision SupportMachine LearningDeep LearningMedical Technology AssessmentArtificial Intelligence-assisted DiagnosisMachine Learning For HealthcarePatient Outcomes Measurement
SUMMARY: Artificial intelligence (AI) has been a disruptive technology within health care, from the development of simple care algorithms to complex deep-learning models. AI has the potential to reduce the burden of administrative tasks, advance clinical decision-making, and improve patient outcomes. Unlocking the full potential of AI requires the analysis of vast quantities of clinical information. Although AI holds tremendous promise, widespread adoption within plastic surgery remains limited. Understanding the basics is essential for plastic surgeons to evaluate the potential uses of AI. This review provides an introduction of AI, including the history of AI, key concepts, applications of AI in plastic surgery, and future implications.
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Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva, Brett Kuprel, Roberto A. Novoa et al. · Nature · 2017 · 13.8K citations · Full text
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Public Health, Health Care Management, Health Informatics +17