Olympus has published results from the EAGLE Trial in npj Digital Medicine, presenting new evidence for its cloud-based CADDIE Computer-Aided Detection system in colorectal screening. The multicenter randomized controlled study evaluated whether real-time Artificial Intelligence support can help clinicians detect lesions linked to cancer prevention while maintaining clinical workflow efficiency and safety. The findings emphasize improved identification of lesion types that are often harder to spot, including large adenomas and sessile serrated lesions.
The EAGLE Trial was conducted across eight centers in four European countries, with a primary analysis involving 841 patients and 22 endoscopists performing screening and surveillance colonoscopies. Patients were randomized to undergo either standard colonoscopy or CADDIE-assisted colonoscopy. The results revealed a 7.3 % absolute increase in adenoma detection rate (ADR) when clinicians used the Artificial Intelligence solution, with marked improvements in the detection of clinically significant lesion subtypes: a 93 % relative increase in large (>10 mm) adenomas, 57 % in non-polyploid adenomas and 230 % in sessile serrated lesions (SSLs).
CADDIE is a cloud-based CADe application that operates in real time, providing clinicians with Artificial Intelligence-generated alerts during procedures to indicate potential polyps. It is the first product launched under Olympus’s OLYSENSE Intelligent Endoscopy Ecosystem, and it holds both FDA clearance and CE Mark certification. Olympus said the system’s cloud architecture reduces dependence on on-premises hardware, which can lower adoption barriers for healthcare facilities of varying sizes and support more frequent model updates based on new clinical data.
Investigators involved in the trial described the results as clinically significant because better detection of high-risk lesions may help reduce post-colonoscopy colorectal cancer rates. The publication adds to the case for evidence-based use of Artificial Intelligence in clinical practice and supports Olympus’s broader push to combine endoscopy technology with tools aimed at improving diagnostic accuracy, efficiency and patient care.
