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Development and Clinical Application of Microscope-Based Artificial Intelligence-Assisted Real-Time Diagnostic System for Pathology

Development and Clinical Application of Microscope-Based Artificial Intelligence-Assisted Real-Time Diagnostic System for Pathology

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117563
Enrollment
Unknown
Registered
2026-01-26
Start date
2026-01-31
Completion date
Unknown
Last updated
2026-02-02

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

Conditions

Jing shoushù qiechú huò chuancì huójian de huxi xìtong zhongliú17Respiratory system tumors that have been surgically removed or biopsied

Interventions

Gold Standard:The final diagnosis based on routine pathological examination is considered the gold standard.
Index test:Evaluate the model's accuracy, sensitivity, specificity, AUC, F1-Score, etc.

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. Patients aged 18 years or older; 2. Patients who underwent tumor resection or tissue biopsy at multiple centers, including the Sir Run Run Shaw Hospital affiliated with Zhejiang University School of Medicine, between January 2020 and December 2026; 3. Patients with available pathological tissue specimens; 4.Voluntarily participate in this study and sign the informed consent form. If the participant is unable to read and sign the informed consent form due to lack of capacity or other reasons, their guardian must act on their behalf during the informed consent process and sign the form. If the participant is unable to read the informed consent form (e.g., illiterate participants), a witness must be present to observe the informed consent process and sign the form.

Exclusion criteria

Exclusion criteria: 1. Those with incomplete clinical data; 2.Those whose specimen slides do not meet the research requirements. 1. Vulnerable groups other than the illiterate and the elderly, including people with mental illnesses, cognitive impairments, pregnant women, etc.

Design outcomes

Primary

MeasureTime frame
Diagnostic Accuracy;

Countries

China

Contacts

Public ContactZhinong Jiang

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

jzn1008@163.com+86 571 86002070

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 7, 2026