Evaluation of an artificial intelligence clinical trial matching system in Australian lung cancer patients.
Marliese AlexanderBenjamin SolomonDavid L BallMimi SheerinIrene Dankwa-MullanAnita M PreiningerGretchen Purcell JacksonDishan M HerathPublished in: JAMIA open (2020)
The AI-based clinical trial matching system allows efficient and reliable screening of cancer patients for clinical trials with 95.7% accuracy for exclusion and 91.6% accuracy for overall eligibility assessment; however, clinician input and oversight are still required. The automated system demonstrates promise as a clinical decision support tool to prescreen a large patient cohort to identify subjects suitable for further assessment.
Keyphrases
- clinical trial
- artificial intelligence
- machine learning
- big data
- clinical decision support
- deep learning
- phase ii
- end stage renal disease
- ejection fraction
- open label
- newly diagnosed
- double blind
- electronic health record
- chronic kidney disease
- phase iii
- study protocol
- randomized controlled trial
- case report
- patient reported outcomes
- high throughput
- patient reported
- placebo controlled