Title: CT Colonography: Past, Present, and AI-Powered Future of Patient-Friendly

登壇者：総合研究院 特任教授/ ハーバード大学メディカルスクールおよび同大学病院 准教授 吉田広行 先生

日時：2026年3月13日（金）15:00-16:00
場所：東京科学大学 すずかけ台キャンパス S８棟レクチャーホール
　　
Abstract: CT colonography (CTC), originally known as virtual colonoscopy, was introduced in the 1990s as a non-invasive alternative to optical colonoscopy for the diagnosis of colorectal cancer. Despite its clinical promise, widespread adoption has been limited by the need for cathartic bowel preparation that patients find burdensome. This talk traces the evolution of CTC over the past quarter century, and presents recent work on laxative-free CTC, where deep learning and generative AI models are used to perform virtual cleansing of residual bowel contents and computer-aided detection of polyps, thereby eliminating the traditional need for a thorough cathartic colon preparation. We show that these AI-powered approaches resolve the long-standing challenge of detecting polyps in a minimally prepared colon, bringing truly patient-friendly yet accurate colorectal cancer screening to clinical reality.