Inflammatory Bowel Disease

Artificial intelligence in colonoscopy.

Digital surgery for gastroenterological diseases.

Advances in machine learning, computer vision and artificial intelligence methods, in combination wi...

Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Although genomic alterations drive the pathogenesis of acute myeloid leukemia (AML), traditional cla...

Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images.

We consider the problem of training a convolutional neural network for histological localization of ...

APRNet: Alternative Prediction Refinement Network for Polyp Segmentation.

Colorectal cancer has become the second leading cause of cancer-related death, attracting considerab...

Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia.

Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced eme...

Deep learning conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study.

BACKGROUND: Traditional methods of developing predictive models in inflammatory bowel diseases (IBD)...

Artificial intelligence or colonoscopy quality the likes of which have never been seen.

Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning.

BACKGROUND: Artificial intelligence in colonoscopy is an emerging field, and its application may hel...

Accurate diagnosis of endoscopic mucosal healing in ulcerative colitis using deep learning and machine learning.

BACKGROUND: In clinical applications, mucosal healing is a therapeutic goal in patients with ulcerat...

Use of ColonFlag score for prioritisation of endoscopy in colorectal cancer.

OBJECTIVE: Colorectal cancer (CRC) is the fourth most common cancer in UK. Symptomatic patients are ...

Consolidated EHR Workflow for Endoscopy Quality Reporting.

Although colonoscopy is the most frequently performed endoscopic procedure, the lack of standardized...

[Robot-assisted single-anastomosis duodeno-ileal bypass with sleeve gastrectomy].

Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar ...

Predictors of bleeding event among elderly patients with mechanical valve replacement using random forest model: A retrospective study.

Available classification tools and risk factors predicting bleeding events in elderly patients after...

Deep learning enabled classification of Mayo endoscopic subscore in patients with ulcerative colitis.

OBJECTIVE: Previous reports of deep learning-assisted assessment of Mayo endoscopic subscore (MES) i...

Machine Learning-Driven Metabolomic Evaluation of Cerebrospinal Fluid: Insights Into Poor Outcomes After Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is associated with a high mortality and poor n...

[A Case of Descending Colon and Rectal Cancer with Acute Myeloid Leukemia Performed Robot‒Assisted Hartmann's Procedure].

The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rect...

Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome.

The maturing development in artificial intelligence (AI) and genomics has propelled the advances in ...

[Preliminary application and efficacy analysis of transumbilical single-incision plus one port robotic total mesorectal excision].

To investigate the feasibility of transumbilical single-incision plus one port (SIPOP) robotic tota...

Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.

BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflam...

Will machines decipher colonoscopy quality from endoscopists' notes?