Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy
Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy
Recruiting · NCT07088354 · Registry updated 2025-07-28Clinical trials
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| Trial | Conditions | Status | Phase | Updated | More info | NCT ID |
|---|---|---|---|---|---|---|
| Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy | Digestive System Diseases, Digestive System Neoplasms, Esophageal Neoplasms, Head and Neck Neoplasms, Neoplasms by Histologic Type, Neoplasms by Site, carcinoma, digestive system disorder, digestive system neoplasm, epithelial neoplasm, esophageal disorder, esophageal squamous cell carcinoma, neoplasm, squamous cell carcinoma, squamous cell neoplasm | Recruiting | Not stated | 2025-07-28 | NCT07088354 |
1 results · Page 1 of 1
Organizations
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| Organizations | Linked trials |
|---|---|
| Tongji Hospital | 276 |
1 results · Page 1 of 1
Research sites
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| Research sites | City | Country | Linked trials |
|---|---|---|---|
| Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology | Wuhan | China | 71 |