Artificial Intelligence Medical Compendium

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

Showing 51,041 to 51,050 of 225,062 articles

A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies.

Scientific reports Feb 12, 2026
As virtual economies in the metaverse continue to grow, the need for real-time risk assessment in financial transactions has become critical. Traditional fraud detection systems often face challenges in keeping pace with the complexity and speed of m... read more 

Performance of adult-trained artificial intelligence models in paediatric imaging-a scoping review.

European radiology Feb 12, 2026
OBJECTIVES: This scoping review aims to evaluate the performance of artificial intelligence (AI) models designed for adults when applied to paediatric imaging datasets without additional adaptations, and to quantify performance degradation across dif... read more 

Multimodal MRI reveals hypothalamic structural-functional alterations associated with bone mineral density loss in postmenopausal women.

Brain imaging and behavior Feb 12, 2026
Emerging evidence implicates central nervous system dysregulation in the pathogenesis of osteoporosis. However, the role of hypothalamic subregions - a key central hub for homeostasis - in human bone health remains poorly understood. This study aimed... read more 

Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.

Scientific reports Feb 12, 2026
Primary care electronic medical records (EMRs) contain rich data that can support proactive identification of chronic health conditions. However, leveraging unstructured EMR data requires the use of novel computational methods. We applied natural lan... read more 

Early detection of dust accumulation on solar energy modules using computer vision and machine learning techniques.

Scientific reports Feb 12, 2026
This paper presents an innovative AI-driven solution for the early detection of dust accumulation on solar energy modules, leveraging computer vision and machine learning techniques. The study identifies two significant gaps in existing literature: t... read more 

Multi-criteria evaluation of clinical decision-making performance in spinal neurosurgery and physical therapy scenarios: A comparative analysis of artificial intelligence models.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 12, 2026
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Artificial intelligence-based waste detection in robotic surgery: a pilot validation study of computer vision technology.

Journal of robotic surgery Feb 12, 2026
Cost containment remains critical for widespread adoption of robotic surgery, yet operating room waste of single-use supplies represents a significant source of unnecessary expenditure that is often overlooked. Traditional waste tracking relies on ti... read more 

Automatic classification of kidney stone components based on smartphone microscopy and the GoogLeNet model.

BMC urology Feb 12, 2026
BACKGROUND: To develop an automated classification system for urinary stone composition by integrating smartphone-based microscopic imaging (TIPSCOPE) with the GoogLeNet architecture, with the goal of enabling rapid, accurate, and cost-effective anal... read more 

Enhancing dental clinical education through AI: insights into post-clinical summaries.

BMC medical education Feb 12, 2026
BACKGROUND: Artificial Intelligence (AI) is increasingly being introduced into clinical education, including dentistry, as a supplement to traditional instructor-led reflection and feedback. Post-clinical summaries-structured end-of-day reviews of pa... read more 

Drone-based geospatial prediction modeling identifies Fasciola hepatica infection risk in the Cusco Highlands of Peru.

Infectious diseases of poverty Feb 12, 2026
BACKGROUND: Fascioliasis is a neglected infectious disease affecting agricultural communities worldwide, with the Peruvian Andes among the most severely affected regions. Identifying fine-scale environmental risk patterns could support targeted surve... read more 
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