Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.
Julia AmannEffy VayenaKelly E OrmondDietmar FreyVince I MadaiAlessandro BlasimmePublished in: PloS one (2023)
Our findings highlight the need for a more differentiated approach to identifying and tackling pertinent ethical and legal issues in the context of medical AI. We advocate for stakeholder and public involvement in the development of AI and AI governance to ensure that medical AI offers solutions to the most pressing challenges patients and clinicians face in clinical care.
Keyphrases
- artificial intelligence
- healthcare
- machine learning
- big data
- deep learning
- end stage renal disease
- palliative care
- ejection fraction
- newly diagnosed
- prognostic factors
- chronic kidney disease
- atrial fibrillation
- peritoneal dialysis
- mental health
- emergency department
- quality improvement
- public health
- chronic pain
- patient reported outcomes
- blood brain barrier
- subarachnoid hemorrhage