# Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease

> **NCT07405658** · — · NOT_YET_RECRUITING · sponsor: **Xinhua Hospital, Shanghai Jiao Tong University School of Medicine** · enrollment: 20000 (estimated)

## Conditions studied

- Kawasaki Disease
- Chest X-ray for Clinical Evaluation
- Mucocutaneous Lymph Node Syndrome

## Interventions

- **DIAGNOSTIC_TEST:** AI-Based Early Warning System for Kawasaki Disease

## Key facts

- **NCT ID:** NCT07405658
- **Lead sponsor:** Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-02-01
- **Primary completion:** 2026-12-31
- **Final completion:** 2027-12-31
- **Target enrollment:** 20000 (ESTIMATED)
- **Last updated:** 2026-02-12

## Collaborators

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## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07405658

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07405658, "Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease". Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/clinical/NCT07405658. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*