Evaluation of an artificial intelligence-based decision support for detection of cutaneous melanoma in primary care - a prospective, real-life, clinical trial.
Panagiotis PapachristouMy SöderholmJon PallonMarina TaloyanSam PolesieJohn PaoliChris D AndersonMagnus FalkPublished in: The British journal of dermatology (2024)
The clinical decision support tool evaluated in this investigation showed high diagnostic accuracy when used prospectively on primary care patients, which could add significant clinical value for primary care physicians in assessing skin lesions to detect melanoma. ClinicalTrials.gov Identifier: NCT05172232.
Keyphrases
- primary care
- artificial intelligence
- clinical decision support
- clinical trial
- end stage renal disease
- machine learning
- big data
- general practice
- deep learning
- newly diagnosed
- chronic kidney disease
- ejection fraction
- electronic health record
- prognostic factors
- peritoneal dialysis
- skin cancer
- randomized controlled trial
- phase ii
- real time pcr
- patient reported
- sensitive detection