AIMC Topic: Gastrointestinal Diseases
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A network-based machine-learning framework to identify both functional modules and disease genes.
Human genetics
Jan 7, 2021
Disease gene identification is a critical step towards uncovering the molecular mechanisms of diseases and systematically investigating complex disease phenotypes. Despite considerable efforts to develop powerful computing methods, candidate gene ide...
Neurodegenerative Diseases
Supervised Machine Learning
Amino Acid Sequence
Computational Biology
Predictive Value of Tests
Metabolic Networks and Pathways
Gastrointestinal Diseases
Protein Interaction Mapping
Immune System Diseases
Musculoskeletal Diseases
Metabolic Diseases
Terminology as Topic
Humans
Mental Disorders
Neoplasms
Gene Regulatory Networks
A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.
International journal of environmental research and public health
Dec 28, 2020
Evidence from some studies suggest that osteoarthritis (OA) patients are often prescribed non-steroidal anti-inflammatory drugs (NSAIDs) that are not in accordance with their cardiovascular (CV) or gastrointestinal (GI) risk profiles. However, no suc...
A Gratifying Step forward for the Application of Artificial Intelligence in the Field of Endoscopy: A Narrative Review.
Surgical laparoscopy, endoscopy & percutaneous techniques
Oct 28, 2020
BACKGROUND: Endoscopy is the optimal choice of diagnosis of gastrointestinal (GI) diseases. Following the advancements made in medical technology, different kinds of novel endoscopy-methods have emerged. Although the significant progress in the penet...
Incorporating standardised reporting guidelines in clinical trials of artificial intelligence in gastrointestinal endoscopy.
The lancet. Gastroenterology & hepatology
Sep 9, 2020
A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems.
mBio
Jun 9, 2020
Machine learning (ML) modeling of the human microbiome has the potential to identify microbial biomarkers and aid in the diagnosis of many diseases such as inflammatory bowel disease, diabetes, and colorectal cancer. Progress has been made toward dev...
A Light-Weight Practical Framework for Feces Detection and Trait Recognition.
Sensors (Basel, Switzerland)
May 6, 2020
Fecal trait examinations are critical in the clinical diagnosis of digestive diseases, and they can effectively reveal various aspects regarding the health of the digestive system. An automatic feces detection and trait recognition system based on a ...
How to Approach and Interpret Studies on AI in Gastroenterology.
Gastroenterology
Apr 6, 2020
Evolving Role and Future Directions of Natural Language Processing in Gastroenterology.
Digestive diseases and sciences
Feb 27, 2020
In line with the current trajectory of healthcare reform, significant emphasis has been placed on improving the utilization of data collected during a clinical encounter. Although the structured fields of electronic health records have provided a con...
Machine learning for syndromic surveillance using veterinary necropsy reports.
PloS one
Feb 5, 2020
The use of natural language data for animal population surveillance represents a valuable opportunity to gather information about potential disease outbreaks, emerging zoonotic diseases, or bioterrorism threats. In this study, we evaluate machine lea...
Application of artificial intelligence in gastrointestinal endoscopy.
Journal of digestive diseases
Nov 20, 2019
With recent significant improvements in artificial intelligence (AI), especially in the field of deep learning, an increasing number of studies have evaluated the use of AI in endoscopy to detect and diagnose gastrointestinal (GI) lesions. The presen...
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