A5101557778- Colorectal Cancer Screening and Detection
- Gastric Cancer Management and Outcomes
- Inflammatory Bowel Disease
- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Surgical Treatments
- Mycobacterium research and diagnosis
- Esophageal Cancer Research and Treatment
- Microscopic Colitis
- Colorectal and Anal Carcinomas
- Gastrointestinal Tumor Research and Treatment
- Gastrointestinal Bleeding Diagnosis and Treatment
- Genetic factors in colorectal cancer
- Metastasis and carcinoma case studies
- Gastrointestinal disorders and treatments
- Salivary Gland Tumors Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
- Breast Lesions and Carcinomas
- Gut microbiota and health
- Helicobacter pylori-related gastroenterology studies
- Lung Cancer Diagnosis and Treatment
- Colorectal Cancer Treatments and Studies
- Diverticular Disease and Complications
- AI in cancer detection
- Neuroendocrine Tumor Research Advances
- Advanced X-ray and CT Imaging
Showa University Northern Yokohama Hospital
2016-2025
University College Cork
2023-2025
APC Microbiome Institute
2023-2025
National University Hospital
2023
Showa University Hospital
2015-2019
Showa University
2015
Nikko Memorial Hospital
2012
Nagasaki University
1992-2010
Doshisha University
2010
Background: Computer-aided diagnosis (CAD) for colonoscopy may help endoscopists distinguish neoplastic polyps (adenomas) requiring resection from nonneoplastic not resection, potentially reducing cost. Objective: To evaluate the performance of real-time CAD with endocytoscopes (×520 ultramagnifying colonoscopes providing microvascular and cellular visualization colorectal after application narrow-band imaging [NBI] methylene blue staining modes, respectively). Design: Single-group,...
The adenoma detection rate is an established quality indicator for colonoscopy. For instance, a 1% increase in the was associated with 3% decrease interval colorectal cancer incidence.1Corley D.A. Jensen C.D. Marks A.R. et al.Adenoma and risk of death.N Engl J Med. 2014; 370: 1298-1306Crossref PubMed Scopus (1166) Google Scholar However, previous meta-analysis showed that approximately 26% neoplastic diminutive polyps were missed single colonoscopy.2van Rijn J.C. Reitsma J.B. Stoker J....
In the treatment of ulcerative colitis (UC), an incremental benefit achieving histologic healing beyond that endoscopic mucosal has been suggested; persistent inflammation increases risk exacerbation and dysplasia. However, identification is extremely difficult using conventional endoscopy. Furthermore, reproducibility disease activity poor. We developed evaluated a computer-aided diagnosis (CAD) system to predict endocytoscopy (EC; 520-fold ultra-magnifying endoscope).We accuracy CAD test...
Recently, the American Society of Gastrointestinal Endoscopy established Preservation and Incorporation Valuable Endoscopic Innovations1Rex D.K. et al.Gastrointest Endosc. 2011; 73: 419-422Abstract Full Text PDF PubMed Scopus (433) Google Scholar for diminutive colorectal polyps. Innovations suggests that, if an endoscopist diagnoses agreement >90% in determining postpolypectomy surveillance intervals a negative predictive value with adenomatous histology, pathologic diagnosis might not be...
Abstract Background and Aims The long-term treat-to-target (T2T) approach in ulcerative colitis (UC) aims for endoscopic remission, but variability among endoscopists a lack of precision relapse prediction both limit its clinical usefulness. A recently reported white-light imaging (WLI) artificial intelligence (AI) model helps standardize diagnosis, although challenges remain. Therefore, we attempted to combine narrow-band (NBI) AI with the WLI determine whether these can be overcome....
<b>Background and study aims:</b> Optical diagnosis of colorectal polyps is expected to improve the cost-effectiveness colonoscopy, but achieving a high accuracy difficult for trainees. Computer-aided (CAD) therefore receiving attention as an attractive tool. This aimed validate efficacy latest CAD model endocytoscopy (380-fold ultra-magnifying endoscopy). <b>Patients methods:</b> international web-based trial was conducted between August November 2015. A test comprising one white-light...
Lymph node metastasis (LNM) prediction for T1 colorectal cancer (CRC) is critical determining the need surgery after endoscopic resection because LNM occurs in 10%. We aimed to develop a novel artificial intelligence (AI) system using whole slide images (WSIs) predict LNM.We conducted retrospective single center study. To train and test AI model, we included status-confirmed T2 CRC between April 2001 October 2021. These lesions were divided into two cohorts: training (T1 T2) testing (T1)....
Inflammatory bowel disease (IBD) is marked by significant clinical heterogeneity, posing challenges for accurate diagnosis and personalized treatment strategies. Conventional approaches, such as endoscopy histology, often fail to adequately accurately predict medium long-term outcomes, leading suboptimal patient management. Artificial intelligence (AI) emerging a transformative force enabling standardized, accurate, timely assessment outcome prediction, including therapeutic response....
Abstract Backgrounds and Aims The Mayo endoscopic subscore [MES] is the most popular disease activity measure of ulcerative colitis [UC]. Artificial intelligence [AI]-assisted colonoscopy expected to reduce diagnostic variability among endoscopists. However, no study has been conducted ascertain whether AI-based MES assignments can help predict clinical relapse, nor AI verified improve performance non-specialists. Methods This open-label, prospective cohort enrolled 110 patients with UC in...
Patients with inflammatory bowel disease (IBD) in clinical and endoscopic remission may still experience relapse. Therefore, there is a need to identify outcome predictors. Recently, the role of neutrophils predicting outcomes ulcerative colitis (UC) has been highlighted. Furthermore, impairment intestinal barrier plays key forecasting IBD.
Abstract Background Artificial Intelligence (AI)- enabled endoscopy and histology offer accurate, objective, rapid assessment of disease activity in Ulcerative Colitis (UC). Emerging multi-source AI models integrating diverse datasets may enhance standardised evaluation outcome prediction. This study aimed to develop a novel model fusing endoscopic histological findings improve the remission predict early response therapy UC clinical trials. Methods A multimodal fusion algorithm was...
Abstract Background Achieving histological remission is a desirable treatment target in inflammatory bowel disease (IBD)1, yet its assessment challenged by high inter- and intra-observer variability, reliance on experts, lack of standardisation2. Artificial intelligence (AI) holds promise addressing these issues3. This systematic review, meta-analysis, meta-regression evaluated the AI’s performance assessing compared it with that pathologists. Methods We searched Medline/PubMed Scopus...