Artificial Intelligence and Machine Learning in Cancer Related Pain: A Systematic Review.

Vivian SalamaBrandon GodinichYimin GengLaia Humbert-VidanLaura MauleKareem A WahidMohamed A NaserRenjie HeAbdallah Sherif Radwan Mohamed Clifton David Fuller Amy C Moreno

Published in: medRxiv : the preprint server for health sciences (2023)

Implementation of various novel AI/ML tools promises significant advances in the classification, risk stratification, and management decisions for cancer pain. These advanced tools will integrate big health-related data for personalized pain management in cancer patients. Further research focusing on model calibration and rigorous external clinical validation in real healthcare settings is imperative for ensuring its practical and reliable application in clinical practice.

Keyphrases

artificial intelligence
pain management
machine learning
big data
chronic pain
healthcare
deep learning
clinical practice
papillary thyroid
primary care
squamous cell
young adults
health information
childhood cancer