Explainable AI decision support improves accuracy during telehealth strep throat screening.
Catalina GomezBrittany-Lee SmithAlisa ZayasJie Ying WuTherese L CanaresPublished in: Communications medicine (2024)
Effectively integrating AI is crucial in the telehealth-based diagnosis of infectious diseases, given the implications of antibiotic over-prescriptions. We demonstrate that AI-based CDSS can improve the accuracy of remote strep throat screening yet underscores the necessity to enhance human-machine collaboration, particularly in trust and intelligibility. This ensures providers and patients can capitalize on AI interventions and smartphones for virtual healthcare.
Keyphrases
- artificial intelligence
- infectious diseases
- healthcare
- end stage renal disease
- chronic kidney disease
- deep learning
- endothelial cells
- newly diagnosed
- ejection fraction
- machine learning
- prognostic factors
- peritoneal dialysis
- physical activity
- health information
- patient reported
- health insurance
- pluripotent stem cells
- neural network