Artificial Intelligence Medical Compendium

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

Showing 2,911 to 2,920 of 168,134 articles

Transductive zero-shot learning via knowledge graph and graph convolutional networks.

Scientific reports Aug 6, 2025
Zero-shot learning methods are used to recognize objects of unseen categories. By transferring knowledge from the seen classes to describe the unseen classes, deep learning models can recognize unseen categories. However, relying solely on a small la... read more 

Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.

Translational psychiatry Aug 6, 2025
Cognitive behavioral therapy (CBT) and pharmacotherapy are primary treatments for major depressive disorder (MDD). However, their differential effects on the neural networks associated with rumination, or repetitive negative thinking, remain poorly u... read more 
Middle Aged Depressive Disorder, Major Magnetic Resonance Imaging Adult Male Cognitive Behavioral Therapy Default Mode Network Rumination, Cognitive Antidepressive Agents Nerve Net Humans Brain Female Prospective Studies

Case Studies of Generative Machine Learning Models for Dynamical Systems

arXiv Aug 6, 2025
Systems like aircraft and spacecraft are expensive to operate in the real world. The design, validation, and testing for such systems therefore relies on a combination of mathematical modeling, abundant numerical simulations, and a relatively small... read more 
Systems and Control Neural and Evolutionary Computing Systems and Control

Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports Aug 6, 2025
The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif... read more 
Humans Principal Component Analysis Methane Carbon Dioxide Machine Learning Africa Nitrous Oxide Climate Change Food Supply Greenhouse Gases Food Security

AI-assisted consent in paediatric medicine: ethical implications of using large language models to support decision-making.

Journal of medical ethics Aug 6, 2025
Obtaining informed consent in paediatrics is an essential yet ethically complex aspect of clinical practice. Children have varying levels of autonomy and understanding based on their age and developmental maturity, with parents traditionally playing ... read more 

Exactly simulating stochastic chemical reaction networks in sub-constant time per reaction

arXiv Aug 6, 2025
The model of chemical reaction networks is among the oldest and most widely studied and used in natural science. The model describes reactions among abstract chemical species, for instance $A + B \to C$, which indicates that if a molecule of type $... read more 
Data Structures and Algorithms

Current applications of deep learning in vertebral fracture diagnosis.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Aug 6, 2025
Deep learning is a machine learning method that mimics neural networks to build decision-making models. Recent advances in computing power and algorithms have enhanced deep learning's potential for vertebral fracture diagnosis in medical imaging. The... read more 

Unveiling Twist Domains in Monolayer MoS through 4D-STEM and Unsupervised Machine Learning.

Small methods Aug 6, 2025
Dichalcogenides, such as molybdenum disulfide (MoS), are being studied extensively due to their 2D feature and various material properties. Although crystal structures are critical for applications, conventional atomic structure analyses have a limit... read more 

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search

arXiv Aug 6, 2025
Vehicles, as one of the most common and significant objects in the real world, the researches on which using computer vision technologies have made remarkable progress, such as vehicle detection, vehicle re-identification, etc. To search an interes... read more 
Computer Vision and Pattern Recognition

TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening

arXiv Aug 6, 2025
The increasing demand for mental health services has outpaced the availability of real training data to develop clinical professionals, leading to limited support for the diagnosis of depression. This shortage has motivated the development of simul... read more 
Computation and Language Artificial Intelligence
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