Tokyo, Aug. 21 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000058851) titled 'Evaluation the Accuracy of Generative AI in Diagnosing Rare and Complex Pediatric Cases: A Retrospective Comparative Study' on Aug. 20.
Study Type:
Observational
Primary Sponsor:
Institute - kurdistan technical institute
Condition:
Condition - rare and complex pediatric diseases
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - To evaluate the diagnostic accuracy and clinical applicability of advanced generative AI models in rare and complex pediatric cases, using expert-verified historical diagnoses as the benchmark.
Basic objectives2 - Efficacy
Eligibility:
Age-lower limit - Not applicable
Age-upper limit - 18
years-old
>=
Gender - Male and Female
Key inclusion criteria - Patients aged 0 to 18 years at the time of diagnosis
Diagnoses confirmed through, diagnostic testing, or specialist evaluation
Conditions classified as rare (affecting fewer than 1 in 2,000 individuals) or complex, involving multisystem involvement or requiring specialized, coordinated care
Key exclusion criteria - Incomplete or ambiguous records
Cases lacking definitive diagnostic confirmation
Conditions that are common, self-limiting, or routinely managed in primary care settings
Target Size - 50
Recruitment Status:
Recruitment status - Preinitiation
Date of protocol fixation - 2025 Year 08 Month 17 Day
Anticipated trial start date - 2025 Year 12 Month 01 Day
Last follow-up date - 2025 Year 12 Month 01 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000067299
Disclaimer: Curated by HT Syndication.
