Artificial Intelligence Medical Compendium

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

Showing 12,051 to 12,060 of 210,314 articles

Identifying critical windows of apparent temperature exposure and male serum reproductive hormone levels.

Environmental research
Although previous studies have suggested that environmental temperature may influence male reproductive hormone levels, evidence regarding the association between apparent temperature exposure and male reproductive hormones remains limited and incons... read more 

Targeting dysregulated glycolysis in type 2 diabetic osteoporosis: Identification of a diagnostic gene signature and therapeutic validation of calcifediol.

Life sciences
Type 2 diabetic osteoporosis (T2DOP) is a significant complication of type 2 diabetes, characterized by an increased risk of fractures. While dysregulated bone cell glucose metabolism is implicated, its specific mechanisms are unclear. This research ... read more 

Recent Advances in Omics and Genetic Tools in Schistosome Research and Control.

International journal for parasitology
Schistosomiasis is a neglected tropical disease posing a persistent threat to global health, particularly in endemic areas. Mass drug administration with praziquantel has substantially reduced disease burden, yet its limited efficacy against juvenile... read more 

Suicide and self-harm in the age of generative artificial intelligence: The case of ChatGPT and rise of suicide-related lawsuits.

Journal of affective disorders
Self-harm and suicide trends have taken a new turn in the era of GenAI and communicative chatbots. Recent OpenAI's own report suggests that 1.2 million weekly ChatGPT users appear to be expressing suicidal thoughts, and 80,000 users are potentially e... read more 

Bridging discovery and clinical science: A framework for advancing atherosclerosis research using innovative models.

Atherosclerosis
Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of death, with substantial residual risk persisting despite current lipid-lowering, antithrombotic, antihypertensive, weight-management, and anti-inflammatory therapies. This unmet cli... read more 

An exploratory application of modern statistical methodology and machine learning techniques in assessment of crystallinity monitoring and control strategy development for high-risk drug manufacturing.

Journal of biopharmaceutical statistics
Pharmaceutical polymorphism and crystallinity changes may have significant impact on drug's quality, efficacy, and safety. The risk mitigation strategies include pharmaceutical development, monitoring and control strategy establishment during manufac... read more 

Nuclear DNA-Gated Electrochemiluminescence Microscopy with Deep Learning for Single-Cell Apoptosis Profiling.

Analytical chemistry
Accurately assessing how individual cells respond to anticancer agents remains challenging because most assays provide bulk or binary readouts and cannot translate single-cell imaging into scalable, mechanism-relevant quantification. Here, we develop... read more 

From conventional imaging software to artificial intelligence: tools for stone volume assessment in urolithiasis. Α review by the EAU and YAU sections of endourology.

World journal of urology
INTRODUCTION: Accurate assessment of stone burden is fundamental in urolithiasis, as it directly influences treatment selection and prognostic evaluation. Although maximum stone diameter on non-contrast computed tomography remains the most widely use... read more 

Does vesicoureteral reflux severity impact breakthrough UTI risk: a multi-institutional analysis and risk stratification.

World journal of urology
BACKGROUND: Vesicoureteral reflux (VUR) is a common urological disorder in children. To date, VUR severity is assessed by grading, and contemporary models have expanded on developing predictors for breakthrough UTI (bUTI) in VUR. Here, we developed m... read more