Artificial Intelligence Medical Compendium

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

Showing 63,961 to 63,970 of 231,309 articles

A diagnosis tool for early detection and classification of heart disease in individuals using transformer mechanisms.

Computer methods and programs in biomedicine Jan 15, 2026
BACKGROUND: Heart disease remains a leading cause of mortality, making accurate and efficient prediction tools essential for the general population. In medical diagnosis, deep learning-based approaches have shown significant potential in identifying ... read more 

First-principles and machine learning investigation of the structural and optoelectronic properties of dodecaphenylyne: a novel carbon allotrope.

Nanoscale Jan 15, 2026
We report the computational discovery and characterization of Dodecaphenylyne (DP), a novel carbon allotrope with a unique geometric structure. The structural, dynamic, mechanical, electronic, and optical properties of DP were evaluated using density... read more 

Fast prototyping of memristors for ReRAMs and neuromorphic computing.

Nanoscale Jan 15, 2026
The growing demand for energy-efficient computing in artificial intelligence requires novel memory technologies capable of storing and processing information. Memristors stand out in thanks to their ability to store information, mimic synaptic behavi... read more 

Properties of AgNPs stabilized with polyvinylpyrrolidone relevant to antidiabetic agents.

Nanoscale Jan 15, 2026
Type 2 diabetes mellitus (DM2) is a chronic metabolic disease. Silver nanoparticles (AgNPs) show promise in their treatment. This study assessed the potential of AgNPs as DM2 treatment agent using in vitro, in vivo, and machine learning approaches. M... read more 
Animals Male Diabetes Mellitus, Type 2 Mice Rats, Wistar Rats Hypoglycemic Agents Metal Nanoparticles Diabetes Mellitus, Experimental Silver Povidone Metformin alpha-Amylases alpha-Glucosidases Dipeptidyl Peptidase 4

Prediction of the phase transition temperatures of functional nanostructured liquid crystals: a machine learning method based on small data for the design of self-assembled materials.

Nanoscale Jan 15, 2026
Here we demonstrate the prediction of the isotropization temperatures of nanostructured ionic liquid crystals (ILCs) by a machine learning method. ILCs, which self-assemble into dynamic and well-ordered nanostructures, have been extensively studied b... read more 

BraTioUS: A multicenter dataset of baseline intraoperative brain tumor ultrasound images.

Data in brief Jan 15, 2026
The BraTioUS (Brain Tumor Intraoperative Ultrasound) dataset [1] is a large-scale, multicenter, and publicly available collection of intraoperative ultrasound (ioUS) images acquired during glioma surgeries. Created through an international collaborat... read more 

Characterization of volatile compounds of irradiated and fermented cherry juice by SPME-GC-MS, SPME-GC × GC-MS and HS-GC-IMS combined with machine learning algorithm.

Food chemistry Jan 15, 2026
To explore the effects of irradiation and fermentation on the flavor of cherry juice, this study characterized the volatile components of cherry juice by gas chromatography-mass spectrometry (GC-MS), gas chromatography-ion mobility spectrometry (GC-I... read more 

Explainable deep learning-based multiclass classification of foot radiographs into normal, plantar fasciitis, and flatfoot.

Clinical imaging Jan 15, 2026
BACKGROUND: The medial longitudinal arch plays a critical role in foot biomechanics, and its abnormalities are associated with conditions such as flatfoot and plantar fasciitis. Early and accurate diagnosis of these disorders is clinically important,... read more 

Adaptive performance control of switched nonlinear systems under false data injection attacks and input saturation constraints.

Neural networks : the official journal of the International Neural Network Society Jan 15, 2026
Considering the controller-actuator channel subjected to false data injection (FDI) attacks, this study proposes an adaptive performance control strategy for switched nonlinear systems under composite disturbances and input saturation. The strategy a... read more 

Deep fine-grained clustering with model reusing.

Neural networks : the official journal of the International Neural Network Society Jan 15, 2026
Deep clustering, which extends deep models to the clustering task, has attracted many attentions due to the high clustering performance. However, conventional deep clustering method assume that sample in different class are slightly different. Real a... read more 
Popular Topics
Recent Journals