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
- end stage renal disease
- machine learning
- palliative care
- phase iii
- big data
- newly diagnosed
- chronic kidney disease
- ejection fraction
- deep learning
- primary care
- healthcare
- peritoneal dialysis
- open label
- double blind
- prognostic factors
- randomized controlled trial
- patient reported outcomes
- health insurance
- risk assessment
- human health
- bioinformatics analysis