Artificial Intelligence Medical Compendium

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

Showing 57,131 to 57,140 of 227,153 articles

Machine learning models for predicting futile recanalisation after endovascular treatment in patients with large core infarction.

Stroke and vascular neurology Jan 29, 2026
BACKGROUND: Predicting futile recanalisation following endovascular treatment (EVT) in patients with large core infarctions is crucial for guiding clinical decisions, optimising perioperative management and improving healthcare resource allocation. T... read more 

Microvascular inflammation in the kidney transplant, beyond acute antibody-mediated rejection.

Current opinion in nephrology and hypertension Jan 29, 2026
PURPOSE OF REVIEW: Microvascular inflammation (MVI) is a central feature of allograft rejection, traditionally associated with antibody-mediated rejection (AMR), but its mechanisms and clinical impact extend beyond this framework. This review highlig... read more 

A multilayered integrated analysis of insomnia-related genes ATG7 and JAK2 in the autophagy-inflammation mechanism and clinical implications in major depressive disorder.

Computational biology and chemistry Jan 29, 2026
OBJECTIVE: Insomnia is widely recognized as a key risk factor for major depressive disorder (MDD). However, the potential molecular mechanisms and the underlying interactions among them remain to be elucidate. METHODS: In NHANES, an insomnia-like hig... read more 

From virtual screening to bench: A dual-validation framework for drug repurposing against PI3K.

Computational biology and chemistry Jan 29, 2026
Virtual screening has emerged as one of the most impactful in silico approaches for the identification of novel drug candidates, substantially reducing the cost and time associated with high-throughput screening (HTS). Ongoing efforts focus on explor... read more 

Predicting antimicrobial resistance in Staphylococcus aureus using machine learning: Insights from a five-year surveillance study.

Computational biology and chemistry Jan 29, 2026
Staphylococcus aureus is a leading cause of both community- and hospital-acquired infections, and the growing prevalence of antimicrobial resistance complicates clinical management worldwide. This study investigated the epidemiology, resistance trend... read more 

Efficient semantic segmentation via logit-guided feature distillation.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Knowledge Distillation (KD) is a critical technique for model compression, facilitating the transfer of implicit knowledge from a teacher model to a more compact, deployable student model. KD can be generally divided into two categories: logit distil... read more 

Advancing point-of-care diagnostics: Engineering and enhancing sensitivity and specificity in nanoparticle-based lateral flow assays for rapid disease detection.

Talanta Jan 29, 2026
Lateral flow assay (LFA) is the most widely used point-of-care (PoC) diagnostic tools due to their simplicity, rapid turnaround, portability, and low cost. Despite their extensive adoption in clinical diagnostics, food safety, and environmental monit... read more 

Image quality comparison between low-dose thin-slice deep-learning reconstruction and standard-dose thick-slice hybrid iterative reconstruction in pediatric abdominal CT.

European journal of radiology Jan 29, 2026
OBJECTIVES: To compare image quality between low-dose thin-slice deep-learning reconstruction (DLR) and standard-dose thick-slice hybrid iterative reconstruction (HIR) in pediatric abdominal CT. METHODS: 82 children (≤6 years) who underwent contrast-... read more 

Predicting transcranial ultrasound insertion loss using skull CT: A deep learning approach.

Ultrasonics Jan 29, 2026
Transcranial ultrasound (tUS) is a non-invasive neuromodulation technique with applications in brain disorders. However, ultrasound attenuation induced by the skull significantly affects focal energy transmission. The loss of ultrasound intensity can... read more 

ESM-AnatTractNet: Advanced deep learning model of true positive eloquent white matter tractography to improve preoperative evaluation of pediatric epilepsy surgery.

Medical image analysis Jan 29, 2026
Accurate preoperative identification of true positive white matter pathways involved in critical eloquent functions such as motor, language, and vision plays a vital role in minimizing the risk of postoperative functional deficits and improving posto... read more 
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