Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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[Possibilities and limits of robotic liver surgery - Current status 2020].

BACKGROUND: Minimally invasive liver surgery is now the standard procedure at experienced centers, whereby the techniques and strategies are continuously evolving.

Feb 1 2021 33095282

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.

Artificial intelligence (AI) holds much promise for enabling highly desired imaging diagnostics improvements. One of the most limiting bottlenecks for the development of useful clinical-grade AI models is the lack of training data. One aspect is the large amount of cases needed and another is the necessity of high-quality ground truth annotation. The aim of the project was to establish and describ...

Feb 1 2021 33169211
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study.

BACKGROUND: Ocular changes are traditionally associated with only a few hepatobiliary diseases. These changes are non-specific and have a low detectio...

Feb 1 2021 33509389
Clinical applications of artificial intelligence and machine learning-based methods in inflammatory bowel disease.

Our objective was to review and exemplify how selected applications of artificial intelligence (AI) might facilitate and improve inflammatory bowel di...

Feb 1 2021 33624888
Challenges of developing artificial intelligence-assisted tools for clinical medicine.

Machine learning, a subset of artificial intelligence (AI), is a set of computational tools that can be used to enhance provision of clinical care in ...

Feb 1 2021 33624889
Application of artificial intelligence in gastroenterology: Potential role in clinical practice.

Artificial intelligence (AI) based on deep learning boosted medical research in the past years and is expected to enormously change the style of healt...

Feb 1 2021 33624890
Advancing care for acute gastrointestinal bleeding using artificial intelligence.

The future of gastrointestinal bleeding will include the integration of machine learning algorithms to enhance clinician risk assessment and decision ...

Feb 1 2021 33624892
[Lateral Port Site Hernia Following Robot Assisted Laparoscopic Radical Prostatectomy : A Case Report and Literature Review].

The patient was a 69-year-old man with localized cT1cN0M0 prostate cancer, who underwent robotassisted laparoscopic prostatectomy (RALP). The operatio...

Feb 1 2021 33657775
The current role of robotics in bariatric surgery.

Significant improvements have been made in bariatric surgery for the past two decades. Thus, early and late complication rates decreased significantly...

Feb 1 2021 33754588
Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms.

OBJECTIVES: This study aimed to develop artificial intelligence and machine learning-based models to predict alterations in liver enzymes from the exp...

Feb 1 2021 34406249
Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.

OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that ...

Jan 15 2021 33175157
ROBOTIC LIVER RESECTION. REPORT OF THE FIRST 50 CASES.

BACKGROUND: Robotic surgery has gained growing acceptance in recent years, expanding to liver resection.

Jan 1 2021 34909859
Robotic Total Pancreatectomy: A Narrative Review.

BACKGROUND/AIM: Studies on robotic total pancreatectomy (RTP) have been limited regardless of the increasing evidence on robotic pancreatoduodenectomy...

Jan 1 2021 34182462
Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value.

Abdominal CT is a frequently performed imaging examination for a wide variety of clinical indications. In addition to the immediate reason for scannin...

Jan 1 2021 33646902
A Survey on Machine Learning and Deep Learning-based Computer-Aided Methods for Detection of Polyps in CT Colonography.

BACKGROUND: Colon cancer generally begins as a neoplastic growth of tissue, called polyps, originating from the inner lining of the colon wall. Most c...

Jan 1 2021 32294045
Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.

INTRODUCTION: Chronic constipation is classified into 2 main syndromes, irritable bowel syndrome with constipation (IBS-C) and functional constipation...

Jan 1 2021 32868630
Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroenterology and is now a key diagnostic and therapeuti...

Jan 1 2021 33021560
Potentials of AI in medical image analysis in Gastroenterology and Hepatology.

With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying possibly huge impact in the field of medicine. Gastro...

Jan 1 2021 33140875
Artificial intelligence in colonoscopy - Now on the market. What's next?

Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufact...

Jan 1 2021 33179322
A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques.

Abnormal behaviors of tumors pose a risk to human survival. Thus, the detection of cancers at their initial stage is beneficial for patients and lower...

Jan 1 2021 33334293
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