FindTrial
Sign In

Construction of front part recognition system for stroke patients based on convolutional neural network and Swin Transformer model

Construction of front part recognition system for stroke patients based on convolutional neural network and Swin Transformer model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100317
Enrollment
Unknown
Registered
2025-04-08
Start date
2025-05-01
Completion date
Unknown
Last updated
2025-04-14

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

Conditions

Stroke

Interventions

Observation group:None

Sponsors

Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >=18 years old; 2. Patients with stroke confirmed by computed tomography (CT) and/or magnetic resonance imaging (MRI); 3. Visit the emergency department and/or neurology and/or neurosurgery; 4. Voluntarily participate in this study and sign informed consent;

Exclusion criteria

Exclusion criteria: 1.Suffers from unstable cerebrovascular disease; 2.The condition is unstable; 3.In addition to the illiterate, the elderly other vulnerable groups, including mental illness, cognitive impairment, critically ill patients, pregnant women and so on;

Design outcomes

Primary

MeasureTime frame
Facial recognition results;—

Countries

China

Contacts

Public ContactXuYihong

Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University

xuyihong@zju.edu.cn+86 571 86006271

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026