Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

Silvia Seoni,Vicnesh Jahmunah,Massimo Salvi,Prabal Datta Barua,Filippo Molinari,U. Rajendra Acharya

Computers in biology and medicine（2023）

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摘要

Uncertainty estimation in healthcare involves quantifying and understanding the inherent uncertainty or variability associated with medical predictions, diagnoses, and treatment outcomes. In this era of Artificial Intelligence (AI) models, uncertainty estimation becomes vital to ensure safe decision-making in the medical field. Therefore, this review focuses on the application of uncertainty techniques to machine and deep learning models in healthcare.

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关键词

Uncertainty techniques,Machine learning models,Deep learning models,PRISMA,Images,Signals,Healthcare,Bayesian models

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