Last reviewed · How we verify
NCT07405658
Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease
trial testing AI-Based Early Warning System for Kawasaki Disease in Kawasaki Disease in 20,000 participants. Not yet recruiting.
31 December 2026
Quick facts
| Lead sponsor | Xinhua Hospital, Shanghai Jiao Tong University School of Medicine |
|---|---|
| Status | Not yet recruiting |
| Study type | OBSERVATIONAL |
| Enrollment | 20,000 |
| Start date | 1 February 2026 |
| Primary completion | 31 December 2026 |
| Estimated completion | 31 December 2027 |
| Sites | 1 location across China |
Drugs / interventions tested
- AI-Based Early Warning System for Kawasaki Disease
Conditions studied
- Kawasaki Disease — all drugs for Kawasaki Disease →
- Chest X-ray for Clinical Evaluation — all drugs for Chest X-ray for Clinical Evaluation →
- Mucocutaneous Lymph Node Syndrome — all drugs for Mucocutaneous Lymph Node Syndrome →
Sponsor
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Who can join
Adults 0 to 18, any sex, with Kawasaki Disease or Chest X-ray for Clinical Evaluation. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this observational study is to develop an AI-based early warning system for Kawasaki Disease (KD) using chest X-rays (CXR) in children diagnosed with Kawasaki Disease. The main question\[s\] it aims to answer are: 1. Can AI modeling of CXR features help identify high-risk KD patients earlier than current diagnostic methods? 2. Can the AI system predict the optimal IVIG treatment window and coronary artery risks in KD patients? Participants will: Provide retrospective data on chest X-rays and clinical data (CRP, coronary ultrasound, etc.) Allow analysis of CXR features using deep learning models to extract relevant patterns Have their data incorporated into a federated learning model to ensure privacy and data security
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07405658
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Kawasaki Disease
Currently open trials in the same condition.
- NCT05643651 — Rivaroxaban for Children Aged Over 2 Years With Giant Coronary Artery Aneurysms After Kawasaki Disease · Phase 4 · recruiting
- NCT07086989 — Cardiovascular Risk in Children With Chronic Conditions Study · recruiting
- NCT07291245 — Kawasaki MATCH Trial · NA · recruiting
- NCT06978439 — Model-informed Dose Optimization for Rivaroxaban in Children With Giant Coronary Artery Aneurysm After Kawasaki Disease · Phase 4 · recruiting
- NCT06993636 — Pharmacometrics Analysis of Rivaroxaban in Chinese Children Aged Over 2 Years · recruiting
Other Xinhua Hospital, Shanghai Jiao Tong University School of Medicine trials
Trials by the same sponsor.
- NCT07506811 — Effects of Different Music Tempos on Feeding Outcomes in Preterm Infants · NA · not yet recruiting
- NCT07441187 — Efficacy and Safety of Henagliflozin, Retagliptin, and Metformin Extended-Release Tablets in Chinese Patients With Type · not yet recruiting
- NCT07375602 — A Multimodal AI Prediction Model for Complications After Transcatheter Closure of Perimembranous VSD in Children · recruiting
- NCT07381400 — Neoadjuvant mFOLFOX6 Chemotherapy Combined With Anti-PD-1 Therapy in MSS/pMMR Locally Advanced Rectal Cancer (FIRM02 Stu · Phase 2 · not yet recruiting
- NCT06936059 — A PRPCT to Assess the Efficacy & Safety of Chronic Pain Rehab Training Software for Alleviating Chronic Secondary Muscul · NA · recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07405658 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
- Last refreshed: 12 February 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07405658.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing