Tokyo, Nov. 3 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000059617) titled 'Clinical Research into the Efficacy of, and Workload Changes due to, the Use of Artificial Intelligence for Preoperative Anesthetic Evaluations' on Nov. 2.
Study Type:
Interventional
Study Design:
Basic Design - Parallel
Randomization - Randomized
Blinding - Open -no one is blinded
Control - Active
Primary Sponsor:
Institute - Akita University
Condition:
Condition - Adult Patients younger than 90 years old who will undergo general anesthesia for scheduled surgeries and whose American Society of Anesthesiologists Physical Status are either one or two
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - We investigate the efficacy of, and workload changes due to, the use of Artificial Intelligence (AI) for preoperative anesthetic evaluations.
Basic objectives2 - Others
Intervention:
Interventions/Control_1 - Preoperative anesthetic questionnaire using AI
Interventions/Control_2 - Conventional anesthetic questionnaire by a medical processor
Eligibility:
Age-lower limit - 18
years-old
=
Gender - Male and Female
Key inclusion criteria - Adult Patients who will undergo general anesthesia for scheduled surgeries and whose ASA PS are either one or two
Key exclusion criteria - The patients with cognitive disorders, visual deficit, and hearing disorders.
The patients who can not communicate in Japanese.
Target Size - 100
Recruitment Status:
Recruitment status - Completed
Date of protocol fixation - 2025 Year 05 Month 01 Day
Date of IRB - 2025 Year 04 Month 30 Day
Anticipated trial start date - 2025 Year 05 Month 07 Day
Last follow-up date - 2025 Year 08 Month 20 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066024
Disclaimer: Curated by HT Syndication.
