STAT+: How Stanford patients help expose ‘fault lines’ in health AI adoption
At Stanford University, it’s easy to get carried away with technology. The computer mouse was invented there. So was Google. And now, it’s pumping out a myriad of tools for artificial intelligence in health care.
But for the last year and a half, Stanford’s hospital has been asking patients about new AI tools before they roll them out.
Eric Gries is one of those people, handpicked by Stanford as part of a “patient panel.” Gries was the caregiver for his wife while she was first on a left ventricular assist device (LVAD), then had a heart transplant. He later became the temporary caregiver for his brother-in-law when he also had a heart transplant.
York and Scarborough goes live with Nervecentre EPR after delay
Xiaochaihu Granules for Depression After Allogeneic Hematopoietic Stem Cell Transplantation
Interventions: Drug: Xiaochaihu Granules (Low Dose); Drug: Xiaochaihu Granules (High Dose)
Sponsors: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Not yet recruiting
Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
Sponsors: Xiangya Hospital of Central South University
Recruiting
Virtual Reality–Based Training in Radiologic Technology for Contrast-Enhanced Computed Tomography Brain Imaging: Randomized Controlled Trial
Background: Radiologic technology (RT) education faces challenges in bridging theory and practice due to limited clinical opportunities. While virtual reality (VR) enables safe and repeatable practice, a systematic instructional design framework is needed to develop scalable, procedure-focused modules. Objective: This study evaluates the Radiologic Technology Virtual Reality (RTVR) framework that integrates 360-degree video capture, instructional overlays, interactive assets, and an immersive content authoring platform to deliver a contrast-enhanced computed tomography (CECT) brain scan module. Methods: In this open-label, parallel-group, randomized controlled trial, 36 year-2 and year-3 RT students with no prior clinical training in diagnostic radiology at a university hospital in Thailand were randomly allocated (1:1) to a VR group or a conventional document-based instruction (control) group. The VR group completed the VR module, a grounded instructional design framework using 360-degree videos and a structured prebrief and debrief, for 20 minutes using a head-mounted display. The control group studied standard curriculum materials for the same duration. Blinding of participants was not possible. Outcome assessment was blinded. The primary outcome was declarative knowledge gain, assessed using a 20-item multiple-choice test before and after intervention. Secondary outcomes included technology acceptance, student satisfaction, and physiological responses during VR immersion. Results: All 36 randomized participants (VR: n=18, control: n=18) completed the study and were included in the analysis. Experts validated the module as suitable and highly appropriate. Students reported high technology acceptance and satisfaction. Both VR and conventional methods produced substantial gains in declarative knowledge. No statistically significant difference in knowledge gain was detected between groups (test × group: unstandardized regression coefficient β=.056, 95% CI −1.360 to 1.473, =.94). Year-2 students, who had less prior clinical exposure, showed larger pretest to posttest knowledge gains compared to year-3 students. Physiological monitoring showed a reduction in heart rate across the session, while blood pressure remained stable. No adverse events or VR-related discomfort requiring discontinuation was observed. Conclusions: The RTVR framework, which uses a real 360-degree video of authentic clinical settings, offers a scalable approach to procedural VR content creation without requiring specialist technical skills, distinguishing it from prior VR studies in radiography. These findings support the RTVR framework as a feasible, evidence-informed supplement to RT curricula for knowledge-focused procedural teaching, with learning outcomes comparable to those of conventional instruction in this context. Trial Registration: Thai Clinical Trials Registry TCTR20260309005; https://www.thaiclinicaltrials.org/show/TCTR20260309005 (retrospectively registered)
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/81ae0f89c861f97c5ded943343e25478" />
Telehealth by Home Monitoring and Video Consultation for Children With Cystic Fibrosis: Qualitative and Quantitative Study
Fixing patient flow in healthcare
Women’s health programme expands from 2 to 26 innovations
Virtual Forest-Based Mindfulness for Perinatal Mental Health
Interventions: Behavioral: Virtual Reality Forest Mindfulness Intervention; Behavioral: Conventional Mindfulness Intervention
Sponsors: National Taiwan University Hospital
Not yet recruiting

