Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.
Fernando Korn MalerbiBeatriz Mezzomo VenturaMariana FischerFernando Marcondes PenhaPublished in: Journal of diabetes science and technology (2024)
During an artificial intelligence (AI)-assisted diabetic retinopathy screening event, we performed a survey on patients´ perceptions on AI. Respondents were individuals with diabetes, mostly followed in primary healthcare with a low education level. While 49.6% of participants said they knew what AI was, only 14% reported good or expert knowledge of AI. The vast majority reported positive feelings towards AI in healthcare. We highlight the importance of understanding patients´ views regarding AI in health in a real-life situation and emphasize the importance of digital education.
Keyphrases
- prognostic factors
- artificial intelligence
- healthcare
- deep learning
- diabetic retinopathy
- machine learning
- big data
- primary care
- type diabetes
- cardiovascular disease
- end stage renal disease
- skeletal muscle
- metabolic syndrome
- chronic kidney disease
- quality improvement
- convolutional neural network
- ejection fraction
- newly diagnosed
- social media
- climate change
- peritoneal dialysis
- weight loss
- clinical practice
- patient reported outcomes