Clinical eHealth · 2023 · 31 citations · 103 references
ComputingHealth InformaticsOncologyArtificial IntelligenceCancer ScreeningClinical MedicineClinical Decision Support SystemsClinical Decision-makingComputer-aided DiagnosisDiagnostic Decision SupportArtificial Intelligence For DetectionArtificial Intelligence-assisted DiagnosisArtificial Intelligence-based ScreeningAutomated Disease RecognitionDiagnostic AlgorithmsMachine Learning Decision SupportMachine Learning For DiagnosisMachine Learning For Healthcare
Over the last decade, artificial intelligence in medicine has attracted much attention and interest for its robust automation and efficiency in disease diagnosis, treatment and prognosis. It has shown great potential in bringing the revolutionary change in clinical practice. This review aimed to summarize the progress AI has made recently in several fields of medicine, including patient screening, diagnosis and treatment of cancerous and non-cancerous diseases, pharmaceutical development, clinical trial management and basic science. Meanwhile, we will discuss its future direction and important considerations, focusing on its utility, usability, validation, safety and ethnic problem.
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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
Improved protein structure prediction using potentials from deep learning
Andrew Senior, John Jumper, James Kirkpatrick et al. · Nature · 2020 · 3.5K citations · Full text
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole et al. · Nature · 2020 · 3.1K citations · Full text
Daniel Shu Wei Ting, Carol Y. Cheung, Gilbert Lim et al. · JAMA · 2017 · 2.3K citations · Full text