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Article
Open AccessA novel prediction model of pancreatic fistula after pancreaticoduodenectomy using only preoperative markers
Since clinically relevant postoperative pancreatic fistula (CR-POPF) can cause intra-abdominal hemorrhage and abscesses, leading to surgery-related deaths after pancreaticoduodenectomy (PD), its preoperative p...
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Article
Open AccessCooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer
The diagnostic ability of endoscopists to determine invasion depth of early gastric cancer is not favorable. We designed an artificial intelligence (AI) classifier for differentiating intramucosal and submucos...
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Article
Open AccessCD4 and FOXP3 as predictive markers for the recurrence of T3/T4a stage II colorectal cancer: applying a novel discrete Bayes decision rule
We recently reported the relapse-free survival (RFS) significance of the combination of CD4+ and forkhead box P3+ (FOXP3) T-cell densities identified by immunohistochemistry in patients with stage I, II, and III ...
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Article
Open AccessNew cine magnetic resonance imaging parameters for the differential diagnosis of chronic intestinal pseudo-obstruction
Chronic intestinal pseudo-obstruction (CIPO) is a severe and refractory intestinal motility disorder whose diagnosis currently relies on subjective imaging assessments. Cine magnetic resonance imaging (MRI) ma...
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Article
Open AccessDistinct epigenetic signatures between adult-onset and late-onset depression
The heterogeneity of major depressive disorder (MDD) is attributed to the fact that diagnostic criteria (e.g., DSM-5) are only based on clinical symptoms. The discovery of blood biomarkers has the potential to...
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Article
Serum LOX-1 is a novel prognostic biomarker of colorectal cancer
Colorectal cancer is the third most common cancer worldwide. If biomarkers can be identified in liquid biopsy, diagnosis and treatment can be optimized even when cancerous tissues are not available. The purpos...
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Article
Open AccessObjective Assessment of the Utility of Chromoendoscopy with a Support Vector Machine
The utility of chromoendoscopy for early gastric cancer (GC) was determined by machine learning using data of color differences.
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Article
An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images
Visibility in capsule endoscopic images is presently evaluated through intermittent analysis of frames selected by a physician. It is thus subjective and not quantitative. A method to automatically quantify th...
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Chapter and Conference Paper
Comparative Study of Classifiers for Prediction of Recurrence of Liver Cancer Using Binary Patterns
Liver cancer has a high likelihood of recurrence despite complete surgical resection and is thus known as an intractable cancer. If postoperative recurrence of cancer is correctly predicted for each patient as...
