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ABSTRACT: Background/objectives
Pain is a challenging multifaceted symptom reported by most cancer patients. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and pain management in cancer.Methods
A comprehensive search of Ovid MEDLINE, EMBASE and Web of Science databases was conducted using terms: "Cancer," "Pain," "Pain Management," "Analgesics," "Artificial Intelligence," "Machine Learning," and "Neural Networks" published up to September 7, 2023. AI/ML models, their validation and performance were summarized. Quality assessment was conducted using PROBAST risk-of-bias andadherence to TRIPOD guidelines.Results
Forty four studies from 2006 to 2023 were included. Nineteen studies used A
SUBMITTER: Salama V
PROVIDER: S-EPMC11534522 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature