Artificial Intelligence Medical Compendium

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

Showing 53,341 to 53,350 of 225,548 articles

Detecting isolated REM sleep behavior disorder at home using a lower-back wearable sensor.

NPJ digital medicine
Isolated REM Sleep Behavior Disorder (iRBD) is a strong predictor of neurodegenerative diseases, particularly synucleinopathies. Current diagnosis requires overnight video-polysomnography (vPSG) in sleep laboratories. Limited access to vPSG and diffe... read more 

Hybrid neural-cognitive models reveal how memory shapes human reward learning.

Nature human behaviour
A long-standing challenge for psychology and neuroscience is to understand the transformations by which past experiences shape future behaviour. Reward-guided learning is typically modelled using simple reinforcement learning (RL) algorithms. In RL, ... read more 

Application and prospect of artificial intelligence in diagnostic imaging of prostate cancer.

NPJ digital medicine
Prostate cancer is a leading cause of male cancer mortality, and early, accurate diagnosis is critical. Artificial intelligence (AI), including machine learning, deep learning, and radiomics, enhances detection, characterization, and treatment assess... read more 

Enhancing fMRI Decoded Neurofeedback with Co-adaptive Training: Simulation and Proof-of-principle Evidence.

Neuroinformatics
A significant challenge for neurofeedback training research and related clinical applications, is participants' difficulty in learning to induce specific brain patterns during training. Here, we address this issue in the context of fMRI-based decoded... read more 

Dissociable impacts of perceived race and ascribed status in event-related brain potentials and multivariate network activity.

Cognitive, affective & behavioral neuroscience
Humans rapidly and efficiently categorize others with limited information, forming split-second impressions. Prior EEG person perception research has often focused on social categories derived from perceptual cues. However, impressions are frequently... read more 

Automated diagnostic of cervical spondylosis on multimodal medical images with a multi-task deep learning model.

Nature communications
Cervical spondylosis is one of the most common degenerative diseases, seriously affecting life quality. Unlike diseases with explicit lesions like cancer, hydroncus, or fracture, the degeneration of the cervical spine cannot be explicitly detected fr... read more