AI Medical Compendium Journal:
Journal of gastroenterology and hepatology

Showing 41 to 50 of 58 articles

Opening the black box of AI-Medicine.

Journal of gastroenterology and hepatology
One of the biggest challenges of utilizing artificial intelligence (AI) in medicine is that physicians are reluctant to trust and adopt something that they do not fully understand and regarded as a "black box." Machine Learning (ML) can assist in rea...

Radiomics and deep learning in liver diseases.

Journal of gastroenterology and hepatology
Recently, radiomics and deep learning have gained attention as methods for computerized image analysis. Radiomics and deep learning can perform diagnostic or predictive tasks using high-dimensional image-derived features and have the potential to exp...

Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Journal of gastroenterology and hepatology
Artificial intelligence (AI) has become increasingly widespread in our daily lives, including healthcare applications. AI has brought many new insights into better ways we care for our patients with chronic liver disease, including non-alcoholic fatt...

Artificial intelligence in precision medicine in hepatology.

Journal of gastroenterology and hepatology
The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift from guideline-specific therapy toward patient-specific precision medicine. The multiparametric and large detailed information necessitates novel anal...

Artificial intelligence in liver disease.

Journal of gastroenterology and hepatology
Artificial intelligence (AI) is a branch of computer science that attempts to mimic human intelligence, such as learning and problem-solving skills. The use of AI in hepatology occurred later than in gastroenterology. Nevertheless, studies on applyin...

Advancing care for acute gastrointestinal bleeding using artificial intelligence.

Journal of gastroenterology and hepatology
The future of gastrointestinal bleeding will include the integration of machine learning algorithms to enhance clinician risk assessment and decision making. Machine learning algorithms have shown promise in outperforming existing clinical risk score...

Applications of artificial intelligence in pancreatic and biliary diseases.

Journal of gastroenterology and hepatology
The application of artificial intelligence (AI) in medicine has increased rapidly with respect to tasks including disease detection/diagnosis, risk stratification, and prognosis prediction. With recent advances in computing power and algorithms, AI h...

Application of artificial intelligence in gastroenterology: Potential role in clinical practice.

Journal of gastroenterology and hepatology
Artificial intelligence (AI) based on deep learning boosted medical research in the past years and is expected to enormously change the style of health care in many aspects in the foreseeable future. Nowadays, there are exploding volumes of healthcar...

Challenges of developing artificial intelligence-assisted tools for clinical medicine.

Journal of gastroenterology and hepatology
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 all areas of medicine. Gastroenterology and hepatology utilize multiple sources of information, incl...

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

Journal of gastroenterology and hepatology
Our objective was to review and exemplify how selected applications of artificial intelligence (AI) might facilitate and improve inflammatory bowel disease (IBD) care and to identify gaps for future work in this field. IBD is highly complex and assoc...