Artificial Intelligence Medical Compendium

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

Showing 55,031 to 55,040 of 226,647 articles

Spine age derived from DXA vertebral fracture assessment images predicts incident fractures and mortality: the Manitoba Bone Mineral Density Registry.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Biological age may better predict health outcomes than chronological age by capturing individual heterogeneity in aging. We investigated whether accelerated spine aging, estimated from DXA vertebral fracture assessment (VFA) using deep learning, pred... read more 

Stiffness enhanced reconfigurable soft hand for versatile stable grasps and in-hand manipulation.

Bioinspiration & biomimetics
Traditional soft robotic grippers often lack the structural rigidity required to maintain stable poses under external forces, as well as the fine control and precision offered by rigid grippers or conventional robotic hands. These limitations are par... read more 

Machine learning prediction of multiple distinct high-affinity chemotypes for α-synuclein fibrils.

Chemical communications (Cambridge, England)
To identify new ligands for positron emission tomography imaging of α-synuclein aggregates, we developed a machine learning model trained on <300 binding measurements. We used scaffold-guided curation to select a 30 compound prospective set from a 14... read more 

A multi-view neural framework with attention for epileptic seizure classification.

Journal of neural engineering
Objective. Epilepsy is a chronic brain disorder characterized by recurrent seizures due to abnormal neuronal firing. Electroencephalogram (EEG)-based seizure classification has become an important auxiliary tool in clinical practice. This study aims ... read more 

spRefine denoises and imputes spatial transcriptomics with a reference-free framework powered by genomic language model.

Genome research
The analysis of spatial transcriptomics is hindered by high noise levels and missing gene measurements, challenges that are further compounded by the higher cost of spatial data compared to traditional single-cell data. To overcome this challenge, we... read more 

RetNeXt: A Pretrained Model for Transfer Learning Across the MOF Adsorption Space.

Journal of chemical information and modeling
Because of their ultrahigh porosity and tunable chemistry, metal-organic frameworks (MOFs) have emerged as leading candidates for gas adsorption applications. Nevertheless, their combinatorial nature induces a vast chemical space, challenging traditi... read more 

Refined trajectory smoothing and deep learning classification of human sperm motility.

Human reproduction (Oxford, England)
STUDY QUESTION: Can precise trajectory smoothing improve extraction of sperm motility features, and can deep learning on raw trajectory data enable accurate classification of sperm motility patterns? SUMMARY ANSWER: We present an approach that enhanc... read more 

TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG.

eNeuro
Auditory-evoked EEG signals contain rich temporal and cognitive features that reflect both the identity of individuals and their neural response to external stimuli. Traditional unimodal approaches often fail to fully leverage this multidimensional i... read more