AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Software Design

Showing 21 to 30 of 45 articles

Clear Filters

[Machine Learning for Computer-aided Diagnosis].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics
Machine learning algorithms are to analyze any dataset to extract data-driven model, prediction rule, or decision rule from the dataset. Various machine learning algorithms are now used to develop high-performance medical image processing systems suc...

Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuzzy Arden Syntax). With fuzzy sets, the relationships between measured or observed data and linguistic terms are expressed as degrees of compatibility ...

Chronic obstructive lung disease "expert system": validation of a predictive tool for assisting diagnosis.

International journal of chronic obstructive pulmonary disease
PURPOSE: The purposes of this study were development and validation of an expert system (ES) aimed at supporting the diagnosis of chronic obstructive lung disease (COLD).

Early anomaly detection in smart home: A causal association rule-based approach.

Artificial intelligence in medicine
As the world's population grows older, an increasing number of people are facing health issues. For the elderly, living alone can be difficult and dangerous. Consequently, smart homes are becoming increasingly popular. A sensor-rich environment can b...

Development and Application of a System Based on Artificial Intelligence for Transcatheter Aortic Prosthesis Selection.

Brazilian journal of cardiovascular surgery
INTRODUCTION: The interest in Expert systems has increased in the medical area. Some of them are employed even for diagnosis. With the variability of transcatheter prostheses, the most appropriate choice can be complex. This scenario reveals an enabl...

U-Net: deep learning for cell counting, detection, and morphometry.

Nature methods
U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data. We present an ImageJ plugin that enables non-machine-learning experts to analyze their dat...

Computer-Assisted Wound Assessment and Care Education Program in Registered Nurses: Use of an Interactive Online Program by 418 Registered Nurses.

Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society
PURPOSE: The purpose of this descriptive study was to evaluate use of a previously validated, online, interactive wound assessment and wound care clinical pathway in a group of RNs. Specific aims were to (a) evaluate the proportions of correct, parti...

Exploratory Gene Ontology Analysis with Interactive Visualization.

Scientific reports
The Gene Ontology (GO) is a central resource for functional-genomics research. Scientists rely on the functional annotations in the GO for hypothesis generation and couple it with high-throughput biological data to enhance interpretation of results. ...

[Novel Innovation: Can Artificial Intelligence make Rehabilitation more Efficient?].

Laeknabladid
Demand for Vocational Rehabilitation in Iceland has been steadily rising in recent years where the presence of young patients has increased proportionally the most. It is essential that public spending is efficient without compromising the treatment ...

An Introduction to Machine Learning for Clinicians.

Academic medicine : journal of the Association of American Medical Colleges
The technology at the heart of the most innovative progress in health care artificial intelligence (AI) is in a subdomain called machine learning (ML), which describes the use of software algorithms to identify patterns in very large datasets. ML has...