Examining the effect of explanation on satisfaction and trust in AI diagnostic systems
Abstract
Artificial Intelligence has the potential to revolutionize healthcare, and it is increasingly being deployed to support and assist medical diagnosis. One potential application of AI is as the first point of contact for patients, replacing initial diagnoses prior to sending a patient to a specialist, allowing health care professionals to focus on more challenging and critical aspects of treatment. But for AI systems to succeed in this role, it will not be enough for them to merely provide accurate diagnoses and predictions. In addition, it will need to provide explanations (both to physicians and patients) about why the diagnoses are made. Without this, accurate and correct diagnoses and treatments might otherwise be ignored or rejected.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 03, 2021
- Source ID
- 10.1186/s12911-021-01542-6
Entities
People
- Lamia Alam
- Shane T Mueller
Organizations
- Defense Advanced Research Projects Agency