AI Medical Compendium

Introduction of sub-band augmentation with machine learning to develop an insomnia classification model using single-channel EEG signals.

Physiological measurement Aug 20, 2025

Biological signals can be used to record sleep activities and can be used to identify sleep disorders. Insomnia is a sleep disorder that can be detected using supervised learning models developed using biological signal analysis. The baseline insomni... read more

AI-based diagnosis of acute aortic syndrome from noncontrast CT.

Nature medicine Aug 20, 2025

The accurate and timely diagnosis of acute aortic syndrome (AAS) in patients presenting with acute chest pain remains a clinical challenge. Aortic computed tomography (CT) angiography is the imaging protocol of choice in patients with suspected AAS. ... read more

First Laboratory Evaluation of FUS-3000 Plus: A New-Generation Urine Analyzer.

The journal of applied laboratory medicine Aug 20, 2025

BACKGROUND: Urine sediment analysis is a cornerstone of diagnostic testing. This study evaluates FUS-3000 Plus, an automated urine sediment analyzer using advanced imaging and artificial intelligence, to assess its technical performance and diagnosti... read more

Automatic detection of cognitive events using machine learning and understanding models' interpretations of human cognition.

Scientific reports Aug 20, 2025

The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cog... read more

Humans Machine Learning Female Young Adult Adult Male Cognition Emotions Memory, Short-Term Attention Pupil Arousal

Basal cell carcinoma risk prediction in survivors of childhood cancer.

Journal of the National Cancer Institute Aug 20, 2025

BACKGROUND: Survivors of childhood cancer face excess risk of developing basal cell carcinoma (BCC). Age-specific BCC risk prediction models for survivors may support targeted screening recommendations. read more

Navigating Medical Device Safety: Current Status, Challenges, and Future Regulatory Directions.

Drug safety Aug 20, 2025

Medical devices are indispensable in modern healthcare. They enable the prevention, diagnosis, and treatment of diseases while enhancing patient outcomes. However, the increasing complexity of these devices, particularly those incorporating advanced ... read more

Individual identification of bony fishes using unique body markings: Implications and applications.

Journal of fish biology Aug 20, 2025

The natural variation in animal body markings, such as spots, stripes and blotches, offers a powerful tool for researchers, conservationists, citizen scientists and resource managers to distinguish specific individuals within species. By building lib... read more

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.

Scientific reports Aug 20, 2025

Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ... read more

Humans Machine Learning Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Logistic Models Support Vector Machine Stroke

AI-assisted 3D versus conventional 2D preoperative planning in total hip arthroplasty for Crowe type II-IV high hip dislocation: a two-year retrospective study.

Journal of orthopaedic surgery and research Aug 20, 2025

BACKGROUND: With the growing complexity of total hip arthroplasty (THA) for high hip dislocation (HHD), artificial intelligence (AI)-assisted three-dimensional (3D) preoperative planning has emerged as a promising tool to enhance surgical accuracy. T... read more

Humans Artificial Intelligence Retrospective Studies Female Aged Adult Male Middle Aged Imaging, Three-Dimensional Treatment Outcome Arthroplasty, Replacement, Hip Preoperative Care Hip Prosthesis Hip Dislocation

AI-driven reclassification of multiple sclerosis progression.