A recent study conducted in Spain involving over 3200 patients has shed light on the effectiveness of Artificial Intelligence computer-aided Detection (CADe) in colonoscopies. The study, called the CADILLAC trial, aimed to evaluate the contribution of CADe to the detection of advanced colorectal neoplasia during colonoscopic procedures.
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The results of the trial showed no significant difference in the detection rate of advanced colorectal neoplasia between colonoscopies with and without CADe. This suggests that experienced endoscopists still play a crucial role in identifying and properly exposing advanced lesions. While CADe was associated with a slight increase in the detection of nonpolypoid lesions and proximal adenomas, there were no significant differences in overall detection rates.
Lead investigator Carolina Mangas-Sanjuan, MD, PhD, emphasized the need to improve AI technology by training computer-aided detection devices with larger image databases. This will enable the devices to better recognize and detect these types of lesions.
The study also highlighted the potential of AI in improving adenoma detection rates and the number of adenomas detected in each colonoscopy. However, there are still questions to be answered regarding the long-term benefits of AI in reducing colorectal cancer incidence and mortality. Additionally, further research is needed to determine the usefulness of AI in different groups of endoscopists and high-risk patient populations.
While AI has great potential in the field of colonoscopy, there is still room for improvement. It is important for clinicians to adapt their workflow and integrate AI devices effectively. Training and education are key in ensuring that clinicians know how to properly utilize computer-aided detection devices and provide adequate mucosal exposure for accurate detection.
Overall, artificial intelligence is here to stay in the field of colonoscopy. Continued research and refinement of AI technology will lead to its wider adoption and successful integration into clinical practice.
Source:
– Mangas-Sanjuan C, de-Castro L, Cubiella J, et al. Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias: A Randomized Trial [published online ahead of print, 2023 Aug 29]. Ann Intern Med. 2023;10.7326/M22-2619. doi:10.7326/M22-2619.
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