Artificial Intelligence Medical Compendium

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

Showing 4,031 to 4,040 of 203,626 articles

A Hybrid Rule-Based and Large Language Model Artificial Intelligence Systems for Electrodiagnostic Reporting: Two-Center Retrospective Evaluation.

Muscle & nerve
INTRODUCTION/AIMS: Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting is heterogeneous across laboratories and often requires time-consuming documentation. We aimed to eva... read more 

Plasmonic and surface-enhanced Raman nanobiosensors for quantitative molecular detection.

Discover nano
Plasmonic surface-enhanced Raman scattering (SERS) nanobiosensors employ nanoscale electromagnetic field amplification to achieve ultrasensitive, multiplex molecular detection. This review systematically outlines the fundamental plasmonic principles,... read more 

AI-derived versus surgeon-performed instrumentation in adolescent idiopathic scoliosis: a biomechanical simulation analysis.

Spine deformity
PURPOSE: Posterior spinal fusion (PSF) with pedicle screws is the standard treatment for adolescent idiopathic scoliosis (AIS) with curves > 45°, yet significant variability in instrumentation strategies persists. Current planning guidelines lack pat... read more 

Genome-guided generative adversarial learning enables nanopore adaptive sequencing.

Nature communications
Nanopore adaptive sequencing enables real-time target enrichment, yet current deep-learning methods require costly, sample-specific experimental training data. To address this, we developed GANBase, a genome-guided generative adversarial learning fra... read more 

Machine learning-assisted self-powered ear tag for animal welfare.

Nature communications
Metabolic health serves as a crucial indicator of animal welfare, yet nutritional imbalances in intensive farming diets often induce metabolic dysregulation. ‌However, precise identification of metabolically abnormal animals within intensive producti... read more 

Deep learning for freezing of gait assessment using inertial measurement units: a multicentre validation study.

NPJ Parkinson's disease
Video annotation is the gold standard for assessing Freezing of Gait (FOG) in Parkinsonian disorders, but it is time-consuming. Deep learning (DL)-based assessment of FOG using inertial measurement units ameliorates this problem but poses challenges.... read more 

Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy.

NPJ breast cancer
The binary pathological complete response (pCR) status of triple-negative breast cancer (TNBC) patients after neoadjuvant chemotherapy (NAC) inadequately captures risk heterogeneity for prognosis. Therefore, this study aimed to develop a machine lear... read more 

Hepatic Vessel Map (HVM): An Expert-Annotated CT Dataset for Clinically Applicable AI in Liver Vascular Segmentation and Surgical Planning.

Scientific data
Precise delineation of hepatic and portal venous anatomy is crucial for the diagnosis of liver disease, surgical planning, and prognosis prediction. Current three-dimensional visualization of these complex vascular structures relies on manual or semi... read more 

Compilation of Creep Property Data for Nuclear Structural Materials.

Scientific data
As advanced nuclear reactor designs move towards higher operating temperatures, rapid nuclear material creep research has become increasingly important. Research of irradiated materials has been limited by space constraints inside research reactors. ... read more 

Robust deepfake video detection using spatio-temporal features and dynamic difference learning.

Scientific reports
Recent progress in facial manipulation technologies has made deepfake videos increasingly convincing, posing significant challenges to detection systems that rely solely on analyzing individual frames. Consequently, there has been a growing emphasis ... read more