Artificial Intelligence Medical Compendium

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

Showing 50,381 to 50,390 of 224,814 articles

Plasma ATN biomarkers across the alzheimer's disease continuum in a Chilean community- and clinic-based cohort.

Alzheimer's research & therapy
BACKGROUND: Plasma biomarkers have emerged as robust indicators of Alzheimer's disease (AD) pathology, offering accessible tools for staging and stratification. However, their expression across globally diverse populations remains poorly characterize... read more 

Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models.

Genome biology
BACKGROUND: Epigenetic modifications play a vital role in the pathogenesis of human diseases, particularly neurodegenerative disorders such as Alzheimer's disease, where dysregulated histone modifications are strongly implicated in disease mechanisms... read more 

Biomarkers help us understand how cellular and systemic aging contribute to mortality: A study utilizing a machine learning approach in the Health and Retirement Study.

The journals of gerontology. Series A, Biological sciences and medical sciences
BACKGROUND: Research suggests aging is a coordinated physiological decline occurring in multiple systems and at multiple biological levels. However, it is largely unknown how general biological aging and specific systemic aging co-occur and influence... read more 

Bi-directional YOLOv10 with average convolution for brain tumor detection in MRI.

Brain research bulletin
Medical professionals rely on MRI scans to evaluate brain tumors, a task prone to fatigue and subjective interpretation. This study enhances the YOLOv10 model by integrating two innovative modules: AvConv module and Bidirectional Pathway, both design... read more 

Real-time intraoperative depth estimation in transsphenoidal surgery using deep learning: A feasibility study.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
PURPOSE: Endoscopic endonasal and transcranial approaches are used for the resection of various pathological lesions in neurosurgery, especially pituitary adenomas, craniopharyngiomas, chordomas, or meningiomas. The video feed provided by endoscopes ... read more 

Leveraging machine learning to identify gendered stereotypes and body image concerns on diet and fitness online forums.

Body image
The pervasive expectations about ideal body types in Western society can lead to body image concerns, dissatisfaction, and in extreme cases, eating disorders and other psychopathologies related to body image. While previous research has focused on on... read more 

Integrative bioinformatics identifies NSCLC biomarkers associated with LPS metabolism and circadian disruption.

Translational oncology
PURPOSE: Non-small cell lung carcinoma (NSCLC) is a leading cause of cancer-related mortality worldwide, highlighting the urgent need for early detection and targeted therapies. While lipopolysaccharide (LPS) metabolism and circadian rhythm disruptio... read more 

Temporal and regional associations between fentanyl concentrations in the unregulated drug supply and drug-related mortality in British Columbia, Canada.

The International journal on drug policy
BACKGROUND: British Columbia (BC), Canada, continues to experience persistently high rates of unregulated drug toxicity. While the presence of fentanyl in the drug supply is well-established, less is known about how fluctuations in its concentration ... read more 

Artificial intelligence for modeling and reducing microplastic in marine environments: A review of current evidence.

Marine pollution bulletin
Marine microplastic pollution presents a critical environmental challenge, affecting ecosystems, wildlife, and human health as millions of tons of plastic waste enter oceans each year. Microplastics, due to their small size, are difficult to detect a... read more