The CONSORT-AI and SPIRIT-AI extensions improve the transparency of clinical trial design and trial protocol reporting for artificial intelligence interventions.
The CONSORT-AI and SPIRIT-AI extensions improve the transparency of clinical trial design and trial protocol reporting for artificial intelligence interventions.
The randomized-controlled trial ADVICE4U demonstrates non-inferiority of an automated AI-based decision support system compared with advice from expert physicians for optimal insulin dosing in youths with type 1 diabetes.
Delivering the potential of artificial intelligence in clinical decision-making will require testing interventions in well-designed randomized clinical trials and reporting these results in a standardized and transparent fashion.
With only a limited number of clinical trials of artificial intelligence in medicine thus far, the first guidelines for protocols and reporting arrive at an opportune time. Better protocol design, along with consistent and complete data presentation, will greatly facilitate interpretation and validation of these trials, and will help the field to move forward.
Here we present the MI-CLAIM checklist, a tool intended to improve transparent reporting of AI algorithms in medicine.
Familiar concepts from research ethics can guide the meaningful and rigorous translation of artificial intelligence (AI) tools into clinical practice.
Familiar concepts from research ethics can guide the meaningful and rigorous translation of artificial intelligence (AI) tools into clinical practice.
Familiar concepts from research ethics can guide the meaningful and rigorous translation of artificial intelligence (AI) tools into clinical practice.
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