인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Colorectal cancer remains one of the leading causes of cancer mortality, and its prognosis is strongly dependent on early detection. Conventional diagnostic approaches, such as colonoscopy and capsule endoscopy, primarily rely on visual inspection and often fail to capture subsurface or biomechanical abnormalities. To address this limitation, an AI-enhanced vibration-assisted capsule is developed for in situ biomechanical sensing of bowel tissues. The self-contained capsule integrates an eccentric vibration motor, triaxial accelerometer, power supply, and wireless communication unit within a swallowable format. During operation, motor-induced oscillations deform surrounding tissue, and the resulting acceleration responses are wirelessly transmitted for real-time analysis. Experiments conducted on ex vivo porcine colon specimens and a soft pneumatic in vitro colon simulator demonstrate that vibration-induced signals capture reproducible mechanical contrasts between normal tissue and lesions of varying relative stiffness. A one-class support vector machine, trained exclusively on normal tissue data, is employed to classify abnormal tissues without requiring extensive annotated datasets. Complementary dynamic modeling further identifies equivalent stiffness parameters, correlating lesion stiffness with abnormal classifications. This work demonstrates a minimally invasive, AI-driven modality for non-visual colorectal cancer detection, establishing the potential of vibration-assisted capsules to provide real-time, patient-friendly screening and to complement existing imaging-based diagnostics.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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