Tokyo, Sept. 1 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000062550) titled 'The Effect of AI Diagnostic Support on Paramedics' Clinical Assessment and Transport Destination Selection: A Randomized Crossover Trial' on Sept. 1.

Study Type: Interventional

Study Design: Basic Design - Cross-over Randomization - Randomized Blinding - Open -no one is blinded Control - Active

Primary Sponsor: Institute - Tohoku University

Condition: Condition - Prehospital emergency care Classification by malignancy - Others Genomic information - NO

Objective: Narrative objectives1 - To quantitatively evaluate how the auxiliary use of AI diagnostic tools affects the quality (accuracy, validity, and appropriateness) of paramedics' clinical judgments, including condition assessment, differential diagnosis, and hospital destination selection. Basic objectives2 - Efficacy

Intervention: Interventions/Control_1 - Participants evaluate simulated cases by inputting data into an AI system and using the generated differential diagnosis list to make their final clinical judgment. Interventions/Control_2 - Participants evaluate simulated cases relying solely on their own knowledge and experience.

Eligibility: Age-lower limit - 18 years-old = Gender - Male and Female Key inclusion criteria - Active paramedics or emergency medical technicians. Individuals who provided voluntary written informed consent after receiving a thorough explanation of the study. Key exclusion criteria - Individuals directly involved in developing the simulated cases or AI tools for this study. Individuals deemed unsuitable for participation by the principal investigator. Target Size - 30

Recruitment Status: Recruitment status - Preinitiation Date of protocol fixation - 2026 Year 08 Month 09 Day Anticipated trial start date - 2026 Year 11 Month 01 Day Last follow-up date - 2031 Year 03 Month 31 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071584

Disclaimer: Curated by HT Syndication.