Artificial Intelligence Medical Compendium

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

Showing 19,551 to 19,560 of 214,800 articles

Lumbar, thoracic, and bilateral vertebral body tethering: do surgical outcomes differ?

Spine deformity May 12, 2026
PURPOSE: VBT is increasingly being used in the lumbar spine to preserve mobility. Surgeons have noted differences in complications and outcomes among single thoracic (T), single lumbar (TL/L), and bilateral (B) VBT, but evidence has been limited to s... read more 

Enhancing Anatomy Learning Through Enhanced 3D Visualization: A Study on Student Perception and Engagement in Museum-Based Education.

Journal of imaging informatics in medicine May 12, 2026
Effective anatomy education is essential for medical training. While traditional anatomy instruction provides essential foundational knowledge, its effectiveness depends on the instructional format, level of interaction, and availability of clinical ... read more 

Structural imaging predictors of ketamine response in treatment-resistant depression: a machine learning approach.

Translational psychiatry May 12, 2026
Ketamine has demonstrated rapid antidepressant efficacy in treatment-resistant depression (TRD), but clinical decision-making is challenging due to variability in individual response. Current trial-and-error prescribing practices may expose patients ... read more 

Assessing urbanisation and ecological integrity coupling in Malaysia using interpretable machine learning.

Scientific reports May 12, 2026
Urbanisation-environment interactions are increasingly non-linear, yet traditional Coupling Coordination Degree (CCD) frameworks often rely on static, linear assumptions that fail to capture complex feedback loops. This study proposes an integrated f... read more 

Design and validation of renal stone detection using multi-architecture feature extraction with deep sequential learning model on axial computed tomography images.

Scientific reports May 12, 2026
Kidney stone disease is a significant public health threat, with its prevalence escalating due to evolving dietary habits, rising rates of obesity, other medical conditions, and the use of certain supplements. A kidney stone, otherwise known as a ren... read more 

MultiScaleKANNet: a hybrid CNN-KAN-transformer architecture for radiographic bone-loss risk stratification from knee X-rays.

Scientific reports May 12, 2026
Osteoporosis is underdiagnosed because dual-energy X-ray absorptiometry (DXA) is costly and scarce. We present MultiScaleKANNet, a hybrid deep-learning architecture for radiographic bone-loss risk stratification from routine knee X-rays, combining co... read more 

Human gloss perception reproduced by tiny neural networks.

Nature human behaviour May 12, 2026
A key goal of visual neuroscience is to explain how our brains infer object properties such as colour, curvature or gloss. Here we used machine learning to identify computations underlying human gloss judgements-traditionally considered a challenging... read more 

Deep convolutional models for robust multi-crop disease recognition in real-world conditions.

Scientific reports May 12, 2026
Crop diseases significantly reduce agricultural output and are a serious problem, especially in the parts of the world where diagnostic experts are not readily available. Deep learning has recently shown us that it is possible for a computer to ident... read more 

Systematic discovery of enzyme promiscuity in Escherichia coli using in vitro metabolomics.

Communications biology May 12, 2026
Metabolic enzymes have traditionally been regarded as highly specific catalysts; however, many can catalyze multiple reactions. To systematically investigate the prevalence of such enzyme promiscuity, we used nontargeted metabolomics to measure dynam... read more 

ULCYP: A Multitask Model for Predicting P450 Inducers Based on Positive-Unlabeled Learning.

Journal of chemical information and modeling May 12, 2026
Prediction of cytochrome P450 (CYP) induction is highly advantageous in early stage drug discovery, as it helps mitigate the risks of drug-drug interactions and toxicity. However, the development of specialized predictive models for CYP induction rem... read more 
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