Quality of interaction between clinicians and artificial intelligence systems. A systematic review
Introduction: Artificial intelligence (AI) has the potential to improve healthcare quality when thoughtfully integrated into clinical practice. Current evaluations of AI solutions tend to focus solely on model performance. There is a critical knowledge gap in the assessment of AI–clinician interacti...
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| Main Authors: | Argyrios Perivolaris, Chris Adams-McGavin, Yasmine Madan, Teruko Kishibe, Tony Antoniou, Muhammad Mamdani, James J. Jung |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
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| Series: | Future Healthcare Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2514664524015625 |
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