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Jan. 07, 2026 |
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Jan. 07, 2026 |
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jRCT1032250626 |
Development and implementation of an AI-driven intraoperative real-time biliary structure recognition system using ICG fluorescence imaging during laparoscopic cholecystectomy |
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Creating an AI-based system to help doctors see bile ducts more clearly during surgery |
Saiura Akio |
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Juntendo University Hospital |
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3-1-3 Hongo Bunkyoku Tokyo |
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+81-3-3813-3111 |
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a-saiura@juntendo.ac.jp |
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Kawano Fumihiro |
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Juntendo University Hospital |
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3-1-3 Hongo Bunkyoku Tokyo |
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+81-3-3813-3111 |
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fkawano@juntendo.ac.jp |
Recruiting |
Jan. 07, 2026 |
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| 300 | ||
Observational |
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single arm study |
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open(masking not used) |
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uncontrolled control |
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single assignment |
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diagnostic purpose |
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Patients undergoing laparoscopic cholecystectomy with ICG fluorescence imaging who meet all of the following criteria: |
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1.Patients who are unable or unwilling to provide informed consent. |
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| 18age old over | ||
| No limit | ||
Both |
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gallstones, cholecystitis, or gallbladder polyps. |
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gallstones, cholecystitis, or gallbladder polyps. |
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The performance of the AI system will be evaluated using the macro-averaged F1 score. |
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Precision |
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| None |
| Juntendo University Certified Review Board | |
| 2-1-1Hongo, Bunkyo-ku, Tokyo, Tokyo | |
+81-3-5802-1584 |
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| crbjun@juntendo.ac.jp | |
| Approval | |
Nov. 07, 2025 |
No |
the United States |