AIMC Topic: Quality of Health Care
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Challenges of developing artificial intelligence-assisted tools for clinical medicine.
Journal of gastroenterology and hepatology
Feb 1, 2021
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
Feb 1, 2021
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...
Artificial intelligence in pancreaticobiliary endoscopy.
Journal of gastroenterology and hepatology
Jan 1, 2021
Artificial intelligence (AI) applications in health care have exponentially increased in recent years, and a few of these are related to pancreatobiliary disorders. AI-based methods were applied to extract information, in prognostication, to guide cl...
Artificial intelligence in gastrointestinal endoscopy.
Journal of gastroenterology and hepatology
Jan 1, 2021
Potentials of AI in medical image analysis in Gastroenterology and Hepatology.
Journal of gastroenterology and hepatology
Jan 1, 2021
With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying possibly huge impact in the field of medicine. Gastroenterology and hepatology, being a specialty relying much on diagnostic imaging, endoscopy, and hist...
Data for registry and quality review can be retrospectively collected using natural language processing from unstructured charts of arthroplasty patients.
The bone & joint journal
Jul 1, 2020
AIMS: Natural Language Processing (NLP) offers an automated method to extract data from unstructured free text fields for arthroplasty registry participation. Our objective was to investigate how accurately NLP can be used to extract structured clini...
Urgent Need for Developing a Framework for the Governance of AI in Healthcare.
Studies in health technology and informatics
Jun 26, 2020
Lately, the application or integration of Artificial Intelligence in various areas of the Healthcare domain has been a prime attraction; this includes diagnostics, medicine/drugs, medical devices, interventions/procedures, imaging, therapies as well ...
The Enterprise Imaging Value Proposition.
Journal of digital imaging
Feb 1, 2020
As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to provide quality care bounded by the constraints of a reduced budget. This manuscript synthesizes the experience from a number of institutions to prov...
Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration.
Endocrinology and metabolism (Seoul, Korea)
Dec 1, 2019
Most people are now familiar with the concepts of big data, deep learning, machine learning, and artificial intelligence (AI) and have a vague expectation that AI using medical big data can be used to improve the quality of medical care. However, the...
Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.
Journal of the American Medical Informatics Association : JAMIA
Dec 1, 2019
OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.
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