A prospective multicenter randomized controlled trial on artificial intelligence assisted colonoscopy for enhanced polyp detection
Abstract Colon polyp detection and removal via colonoscopy are essential for colorectal cancer screening and prevention. This study aimed to develop a colon polyp detection program based on the RetinaNet algorithm and verify its clinical utility. To develop the AI-assisted program, the dataset was f...
Saved in:
| Main Authors: | Dong Kyun Park, Eui Joo Kim, Jong Pil Im, Hyun Lim, Yun Jeong Lim, Jeong-Sik Byeon, Kyoung Oh Kim, Jun-Won Chung, Yoon Jae Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-10-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-77079-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real-World Colonoscopy Video Integration to Improve Artificial Intelligence Polyp Detection Performance and Reduce Manual Annotation Labor
by: Yuna Kim, et al.
Published: (2025-04-01) -
Profile of Colorectal Polyps in Colonoscopies
by: Maria Luiza Ferreira Cysne, et al.
Published: (2025-06-01) -
Validation of Artificial Intelligence Computer-Aided Detection of Colonic Neoplasm in Colonoscopy
by: Hannah Lee, et al.
Published: (2024-12-01) -
Adenoma and Polyp Detection Rates in Colonoscopy according to Indication
by: Erika S. Boroff, et al.
Published: (2017-01-01) -
Predicting Mortality and Cirrhosis-Related Complications with MELD3.0: A Multicenter Cohort Analysis
by: Jihye Lim, et al.
Published: (2025-05-01)