Impact of Responsibility Allocation Structures on Diagnostic Quality in AI-Assisted Diagnosis: Randomized Controlled Experiment.
How responsibility is shared between AI tools and clinicians significantly affects diagnostic accuracy in medical decision-making.
BACKGROUND: AI is increasingly used to support clinical diagnosis, but the appropriate allocation of responsibility between clinicians and AI remains unclear. RESULTS: Responsibility allocation structures significantly modulated diagnostic quality.
What the study was
- Study design
- Randomized study
- Sample size
- 105
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Journal of medical Internet research
Why it surfaced
Score 6/10 [PROMISING_PRELIMINARY]: Randomized study (Journal Article) matched 'AI/ML in clinical diagnostics and imagin'. Components — novelty:1/3, relevance:2/3, design:2/2, population:1/2. Confidence: high. Conservative scoring applied per v1.3 rubric.
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