Identifying Oncology Clinical Trial Candidates Using Artificial Intelligence Predictions of Treatment Change: A Pilot Implementation Study.

Kenneth L Kehl Tali Mazor Pavel Trukhanov James R Lindsay Matthew R GalvinKarim S FarhatEmily McClureAntonio GiordanoLeena GandhiDeborah Schrag Michael J HassettEthan Cerami

Published in: JCO precision oncology (2024)

This approach facilitated identification of potential patients for clinical trials in real time, but further work to improve accrual must address the many other barriers to trial enrollment in precision oncology research.

Keyphrases

clinical trial
artificial intelligence
phase ii
study protocol
end stage renal disease
machine learning
palliative care
phase iii
big data
deep learning
newly diagnosed
primary care
ejection fraction
chronic kidney disease
healthcare
risk assessment
human health
smoking cessation
patient reported