AI Medical Compendium

Unsupervised clustering of biochemical markers reveals health profiles associated with function and survival in active aging.

Scientific reports Aug 20, 2025

This study explores the relationships between biochemical phenotypes identified using machine learning, and key health outcomes, including body composition, physical function, and mortality risk. Data were collected from 536 physically active Spanish... read more

Humans Biomarkers Female Aged Aged, 80 and over Male Aging Exercise Cluster Analysis Body Composition Proportional Hazards Models

Multicenter Validation of Automated Segmentation and Composition Analysis of Lumbar Paraspinal Muscles Using Multisequence MRI.

Radiology. Artificial intelligence Aug 20, 2025

. Chronic low back pain is a global health issue with considerable socioeconomic burdens and is associated with changes in lumbar paraspinal muscles (LPM). In this retrospective study, a deep learning method was trained and externally validated for a... 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

Unexpected early pulmonary thrombi in war injured patients.

European radiology Aug 20, 2025

OBJECTIVES: Pulmonary embolism is commonly associated with deep vein thrombosis and the components of Virchow's triad: hypercoagulability, stasis, and endothelial injury. High-risk patients are traditionally those with prolonged immobility and hyperc... read more

Attention-based deep learning network for predicting World Health Organization meningioma grade and Ki-67 expression based on magnetic resonance imaging.

European radiology Aug 20, 2025

OBJECTIVES: Preoperative assessment of World Health Organization (WHO) meningioma grading and Ki-67 expression is crucial for treatment strategies. We aimed to develop a fully automated attention-based deep learning network to predict WHO meningioma ... read more

Construction of A Novel 5-Dye Fluorescent Multiplex System With 30 Y-STRs for Patrilineal Relationship Prediction.

Electrophoresis Aug 20, 2025

Nowadays, Y chromosome short tandem repeats (Y-STRs) are widely used in forensic medicine practice, which has great significance for ancestry tracing, male lineage evolution, and male paternal relatives. Rapidly mutating Y-STRs (RM Y-STRs) have been ... read more

Accurate machine learning model for human embryo morphokinetic stage detection.

Journal of assisted reproduction and genetics Aug 20, 2025

PURPOSE: The ability to detect, monitor, and precisely time the morphokinetic stages of human pre-implantation embryo development plays a critical role in assessing their viability and potential for successful implantation. Therefore, there is a need... read more

[The application effect of Generative Pre-Treatment Tool of Skeletal Pathology in functional lumbar spine radiographic analysis].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025

To investigate the application effectiveness of the artificial intelligence(AI) based Generative Pre-treatment tool of Skeletal Pathology (GPTSP) in measuring functional lumbar radiographic examinations. This is a retrospective case series study,re... read more

Sarcopenia Assessment Using Fully Automated Deep Learning Predicts Cardiac Allograft Survival in Heart Transplant Recipients.

Circulation. Heart failure Aug 20, 2025

BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more

Leveraging artificial intelligence for prediction of pulmonary hemorrhage in preterm infants.

Journal of perinatology : official journal of the California Perinatal Association Aug 20, 2025

OBJECTIVES: To identify clinical variables and indicators associated with pulmonary hemorrhage in preterm infants. read more

Artificial Intelligence Medical Compendium