Phase N/A Vignette Trial Opens: Bayesian-Updated AI Outputs vs Standard Predicted Probabilities in Clinical Decision Support — What Clinicians Need to Know
247 Health News Editorial
·16 July 2026
·5 min read
·clinical-trialsA new UCSF-sponsored randomised vignette trial is investigating whether presenting AI diagnostic outputs as Bayesian-updated post-test probabilities — rather than raw model predictions — improves clinician diagnostic accuracy in chest pain and dyspnea cases. The study also tests whether uncertainty quantification can protect clinicians against the anchoring effects of deliberately misleading AI predictions, with direct implications for clinical decision support system design globally.
Originally reported by ClinicalTrials.gov
References
- 1.University of California, San Francisco. (2025). Transforming clinical decision support systems: Using continuous Bayesian updates to integrate AI predictions with clinician expertise (NCT07457840). ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07457840
- 2.Shortliffe, E. H., & Sepúlveda, M. J. (2018). Clinical decision support in the era of artificial intelligence. JAMA, 320(21), 2199–2200. https://doi.org/10.1001/jama.2018.14670
- 3.Goddard, K., Roudsari, A., & Wyatt, J. C. (2012). Automation bias: A systematic review of frequency, effect mediators, and mitigators. Journal of the American Medical Informatics Association, 19(1), 121–127. https://doi.org/10.1136/amiajnl-2011-000089
- 4.Cabitza, F., Campagner, A., & Balsano, C. (2020). Bridging the 'last mile' gap between AI implementation and operation: 'Data awareness' that matters. Annals of Translational Medicine, 8(7), 501. https://doi.org/10.21037/atm.2020.03.63
- 5.Swap, C. J., & Nagurney, J. T. (2005). Value and limitations of chest pain history in the evaluation of patients with suspected acute coronary syndromes. JAMA, 294(20), 2623–2629. https://doi.org/10.1001/jama.294.20.2623
- 6.Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022). AI in health and medicine. Nature Medicine, 28(1), 31–38. https://doi.org/10.1038/s41591-021-01614-0
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247 Health News Editorial
247 Health News is a medical intelligence platform delivering evidence-based research appraisals, clinical trial monitoring, and health technology news for healthcare professionals.
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