AI Medical Compendium Journal:
Advances in experimental medicine and biology

Showing 31 to 40 of 105 articles

Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection.

Advances in experimental medicine and biology
In biomedical machine learning, data often appear in the form of graphs. Biological systems such as protein interactions and ecological or brain networks are instances of applications that benefit from graph representations. Geometric deep learning i...

Collaborative Platforms and Matchmaking Algorithms for Research and Education, Establishment, and Optimization of Consortia.

Advances in experimental medicine and biology
Matchmaking has a great position in the rational allocation of resources in several fields, ranging from market operation to people's daily lives. Matchmakers have evolved through artificial intelligence technologies and are being introduced in numer...

Spiking Neural Networks and Mathematical Models.

Advances in experimental medicine and biology
Neural networks are applied in various scientific fields such as medicine, engineering, pharmacology, etc. Investigating operations of neural networks refers to estimating the relationship among single neurons and their contributions to the network a...

AI-Aided Disease Prediction in Visualized Medicine.

Advances in experimental medicine and biology
Artificial intelligence (AI) is playing a vitally important role in promoting the revolution of future technology. Healthcare is one of the promising applications in AI, which covers medical imaging, diagnosis, robotics, disease prediction, pharmacy,...

Network Biology and Medicine to Rescue: Applications for Retinal Disease Mechanisms and Therapy.

Advances in experimental medicine and biology
Inherited retinal degenerations (IRDs) are clinically and genetically heterogenous blinding diseases that manifest through dysfunction of target cells, photoreceptors, and retinal pigment epithelium (RPE) in the retina. Despite knowledge of numerous ...

3D Visualisation of the Spine.

Advances in experimental medicine and biology
The 3D visualisation of the spine is thought of from multiple viewpoints. Firstly, radiological imaging is considered, with plain radiography, CT and MRI imaging discussed in detail with relevant applications to spinal surgery.3D printing can be used...

Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

Advances in experimental medicine and biology
BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arteriosclerosis plays an important role in cognitive disorders in both vascular dementia and Alzheimer's disease. In addition, systemic metabolic disorde...

Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry Signal.

Advances in experimental medicine and biology
Automated analysis of the blood oxygen saturation (SpO) signal from nocturnal oximetry has shown usefulness to simplify the diagnosis of obstructive sleep apnea (OSA), including the detection of respiratory events. However, the few preceding studies ...

Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea.

Advances in experimental medicine and biology
The overnight polysomnography shows a range of drawbacks to diagnose obstructive sleep apnea (OSA) that have led to the search for artificial intelligence-based alternatives. Many classic machine learning methods have been already evaluated for this ...

Signal Processing Techniques Applied to Axial Transmission Ultrasound.

Advances in experimental medicine and biology
A new application of ultrasonography has been emerging in the bone quantitative ultrasound arena in the last twenty years: cortical bone characterization using axial transmission ultrasound (ATU). Although challenged by the complicated cortical tissu...