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Development of an AI-Based Multimodal Platform for Precision Diagnosis and Clinical Decision Support of Respiratory Tract Infections

Development of an AI-Based Multimodal Platform for Precision Diagnosis and Clinical Decision Support of Respiratory Tract Infections

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600129229
Enrollment
Unknown
Registered
2026-08-01
Start date
2026-08-01
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pneumonia Lower Respiratory Tract Infection (LRTI)

Interventions

Aspergillus group Non-Aspergillus group:None
Bacterial group Non-bacterial group:None
Viral group Non-viral group:None

Sponsors

China-Japan Friendship Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years; 2. Pulmonary infection with clear etiological results; 3. Complete case data and imaging results.

Exclusion criteria

Exclusion criteria: 1. Age under 18 years old; 2. Pathogen not checked; 3. Patients without lung infection; 4. Only follow-up data available, lacking key modality data; 5. Clearly non-infectious diseases (such as cardiogenic pulmonary edema); 6. Clinical data severely missing.

Design outcomes

Primary

MeasureTime frame
Area Under the ROC Curve (AUC) and 95% CI;Pathogen detection rate;—

Secondary

MeasureTime frame
Average length of hospital stay;Number of days of antimicrobial use;Antibiotic escalation/de-escalation ratio;—

Countries

China

Contacts

Public ContactLijuan Li

China-Japan Friendship Hospital

lilijuan236@126.com+86 10 84206278

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026