Identifying Oncology Clinical Trial Candidates Using Artificial Intelligence Predictions of Treatment Change: A Pilot Implementation Study.
Kenneth L KehlTali MazorPavel TrukhanovJames R LindsayMatthew R GalvinKarim S FarhatEmily McClureAntonio GiordanoLeena GandhiDeborah SchragMichael J HassettEthan CeramiPublished 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
- study protocol
- phase ii
- machine learning
- palliative care
- big data
- end stage renal disease
- newly diagnosed
- ejection fraction
- deep learning
- healthcare
- primary care
- prognostic factors
- randomized controlled trial
- health insurance
- patient reported outcomes
- climate change
- risk assessment
- human health
- placebo controlled