Artificial Intelligence Medical Compendium

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

Showing 57,271 to 57,280 of 227,153 articles

Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging.

Npj imaging
Computerized features derived from medical imaging have shown great potential in building machine learning models for predicting and prognosticating disease outcomes. However, the performance of such models depends on the robustness of extracted feat... read more 

Artificial Intelligence-Based Multi-Stage System for Automated Angle's Classification of Malocclusion from Intraoral Images in Orthodontics.

Journal of imaging informatics in medicine
This study presents a multi-stage deep learning pipeline for automated Angle's classification of occlusion using intraoral images in orthodontics. The pipeline integrates three key stages: (1) a binary Occlusion Side Classifier (OSC) to determine whe... read more 

The role of brain health and resilience in reshaping trajectories of late-life neuropsychiatric disorders.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Global population aging and increased chronic stress due to numerous mass disasters including those related to pandemics, climate change, war, displacement, and political unrest all challenge our collective resilience, with a growing burden of late-l... read more 

AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment.

NPJ digital medicine
Stroke is a leading cause of long-term disability, often affecting upper-limb motor function and requiring continuous assessment. The Fugl-Meyer Assessment (FMA), though a clinical gold standard, is time-consuming and demands specialized personnel. T... read more 

Sperm DNA fragmentation and its influence on mammalian reproduction.

Nature reviews. Urology
Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embryo development, implantation and pregnancy outcomes. Historically, standard semen analysis has not included assessments of DNA integrity, creating a c... read more 

Reducing label dependence in vibration-based drill-bit condition monitoring with masked feature pretraining.

Scientific reports
Reliable tool condition monitoring (TCM) plays a critical role in precision machining, where progressive wear can lead to dimensional inaccuracies, degraded surface finish, and unplanned downtime. Despite advances in data-driven diagnostics, most mac... read more 

Artificial intelligence predicts healthcare workers' antibiotic use intentions from psychological and behavioral measures across multiple theories.

Scientific reports
Antimicrobial resistance (AMR) remains a global health priority, partly driven by non-guideline-concordant antibiotic prescribing among healthcare workers. Existing interventions often overlook the psychological and contextual factors that shape pres... read more 

Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records.

Scientific reports
This study aimed to employ supervised models for predicting pressure injuries in hospitalized patients using data collected within the first eight hours after admission, thus providing a tool for early assessment and prevention. The dataset included ... read more 

Radiomics analysis of early pregnancy ultrasound images to predict viability at the end of first trimester.

Scientific reports
To determine whether there are radiomic ultrasound features of early pregnancy when viability is unknown, which in combination with clinical features, may predict subsequent loss. Multi-centre retrospective cohort study, which included 500 cases of p... read more 

Comparative study on predicting postoperative distant metastasis of lung cancer based on machine learning models.

Scientific reports
Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Its tendency for postoperative distant metastasis significantly compromises long-term prognosis and survival. Accurately predicting the metastatic potential in... read more