AIMC Topic: Humans

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An automated deep learning method and novel cardiac index to detect canine cardiomegaly from simple radiography.

Scientific reports
Since most of degenerative canine heart diseases accompany cardiomegaly, early detection of cardiac enlargement is main priority healthcare issue for dogs. In this study, we developed a new deep learning-based radiographic index quantifying canine he...

Predicting genes associated with RNA methylation pathways using machine learning.

Communications biology
RNA methylation plays an important role in functional regulation of RNAs, and has thus attracted an increasing interest in biology and drug discovery. Here, we collected and collated transcriptomic, proteomic, structural and physical interaction data...

Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is rapidly expanding in medicine despite a lack of consensus on its application and evaluation.

Development and application of a fuzzy occupational health risk assessment model in the healthcare industry.

La Medicina del lavoro
BACKGROUND: Hazards of the workplace and their impacts on the healthcare industry affect the quality of patient care and safety and impose high costs on the healthcare industry. Occupational health in this industry requires proper identification of h...

Randomized Controlled Trials of Artificial Intelligence in Clinical Practice: Systematic Review.

Journal of medical Internet research
BACKGROUND: The number of artificial intelligence (AI) studies in medicine has exponentially increased recently. However, there is no clear quantification of the clinical benefits of implementing AI-assisted tools in patient care.

Haplotype and population structure inference using neural networks in whole-genome sequencing data.

Genome research
Accurate inference of population structure is important in many studies of population genetics. Here we present HaploNet, a method for performing dimensionality reduction and clustering of genetic data. The method is based on local clustering of phas...

A review of arrhythmia detection based on electrocardiogram with artificial intelligence.

Expert review of medical devices
INTRODUCTION: With the widespread availability of portable electrocardiogram (ECG) devices, there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia mainly relies on the rules of medical knowledge, which are insuffic...

Comparative studies of deep learning segmentation models for left ventricle segmentation.

Frontiers in public health
One of the primary factors contributing to death across all age groups is cardiovascular disease. In the analysis of heart function, analyzing the left ventricle (LV) from 2D echocardiographic images is a common medical procedure for heart patients. ...

MMKP: A mind mapping knowledgebase prototyping tool for precision medicine.

Frontiers in immunology
BACKGROUND: With significant advancements in the area of precision medicine, the breadth and complexity of the relevant knowledge in the field has increased significantly. However, the difficulty associated with dynamic modelling and the disorganizat...

Exploration of the Application Effect of the Darongtong Course Model Based on Deep Learning Enhancement in Nursing.

Contrast media & molecular imaging
In order to explore the application effect of the Darongtong course model based on deep learning enhancement in nursing, a total of 500 students in the school are investigated. The students in the contrast set are given the traditional teaching mode,...