Keio University · 의학
마사시 타케우치 교수의 연구실은 위식도암 및 위암의 개인화된 치료 전략 개발에 초점을 맞추고 있습니다. 비만 지표인 복부지방면적(VFA)과 암 예후를 예측하는 새로운 생체지표(LCR) 등 혁신적인 생체정보를 활용한 옹종 치료의 정밀도를 높이고자 합니다. 또한 인공지능 기반 영상 분석과 대화형 시스템 기술을 접목해 수술 전 계획 수립 및 임상 의사결정 지원 체계를 구축하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
High VFA is more useful than BMI in predicting anastomotic leakage and SSI after total gastrectomy. Therefore, we should consider the VFA value during surgery.
Artificial intelligence (AI) has a significant impact on the field of health care, particularly imaging and video analyses. It can considerably support clinical decision-making, including the automatic diagnosis of gastrointestinal cancer during endoscopy and automated detection of pulmonary lesions on computed tomography (CT).1, 2 In the future, AI may provide innovative solutions that improve surgical efficiency and patient outcomes in the field of surgical procedures. Integrating AI into surg
If a dialog system can respond to the user as reasonable as a human, the interaction will become smoother. Timing of response such as backchannels and turn-taking plays important role in such a smooth dialog as in human-human interaction. We are now developing a dialog system which can generate response timing in real time. In this paper, we introduce a response timing generator for such a dialog system. First, we analyzed conversations between two persons and extracted prosodic and linguistic i
Surgical management was conducted adequately through the organized efforts of the entire surgery department in our country even in a pandemic during which medical resources and staff may have been limited.
DCF and subsequent esophagectomy achieved R0 resection in 50% of the patients and was associated with better long-term oncological outcomes in patients with initially unresectable esophageal cancer if their systemic status is acceptable.
