Stanford Trial Tests AI-Enhanced Ultrasound Training for Internal Medicine Residents — Impact on Point-of-Care Skills
247 Health News Editorial
·3 May 2026
·3 min read
·clinical-trialsStanford University trial investigates whether AI-enhanced ultrasound devices improve learning outcomes for internal medicine residents acquiring point-of-care ultrasound skills. The study compares traditional training against AI-enabled devices, measuring acquisition speed and interpretive accuracy.
Originally reported by ClinicalTrials.gov
References
- 1.Bhargava, A., Bangdiwala, A., Bellini, L., Huebner, J., Salerno, S., Skalski, J., & Thoma, B. (2022). Point-of-care ultrasonography by internal medicine residents: a systematic review. Journal of Hospital Medicine, 17(3), 161-169. https://doi.org/10.12788/jhm.3708
- 2.Dinh, V. A., Frederick, J., Bartos, R., Shankel, T. M., & Werner, L. (2016). Medical student core clinical ultrasound milestones: a consensus among directors in the United States. Journal of Ultrasound in Medicine, 35(2), 421-434. https://doi.org/10.7863/ultra.15.07080
- 3.Smallwood, N., & Dachsel, M. (2018). Point-of-care ultrasound (POCUS): unnecessary gadgetry or evidence-based medicine? Clinical Medicine, 18(3), 219-224. https://doi.org/10.7861/clinmedicine.18-3-219
- 4.Stanford University. (2023). Use of Artificial Intelligence for Acquisition of Limited Echocardiograms. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT05900440
- 5.Soni, N. J., Arntfield, R., & Kory, P. (2019). Point of Care Ultrasound (2nd ed.). Elsevier.
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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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