Artificial Intelligence Medical Compendium

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

Showing 23,221 to 23,230 of 217,176 articles

[AI-based surgical planning of adult spinal deformities : Analysis of an AI-based tool for correction planning and execution employing patient-specific contoured rods].

Orthopadie (Heidelberg, Germany)
BACKGROUND: Optimal alignment correction can potentially lower the high complication rates of adult scoliosis surgeries. AI tools can help make the analysis and planning process easier as well as improve the surgical realization via patient-specific ... read more 

Geometric deep reinforcement learning with hierarchical variational autoencoders for de novo drug design and activity optimization.

Journal of computer-aided molecular design
Traditional drug discovery is a resource-intensive process with high attrition rates and the huge difficulty of working with a chemical space that is thought to include [Formula: see text] molecules. Even though computational chemistry has come a lon... read more 

The Use of Machine Learning to Predict Offline Adolescent e-Cigarette Use: a Proof-of-Concept.

Prevention science : the official journal of the Society for Prevention Research
Identification of adolescent e-cigarette use could inform prevention and intervention programming and reduce associated consequences. One way to predict those engaging in use is by examining social media profiles and metrics. Most studies examining s... read more 

Data-driven detection of lucid episodes in advanced dementia: Application of latent class analysis to observational data.

Journal of Alzheimer's disease : JAD
BackgroundLucid episodes (LEs) in advanced dementia are significant clinical events yet are challenging to investigate as they are characterized by a transient and unexpected recovery of abilities and present variably across individuals. Prospective ... read more 

Fine-Grained Recognition of Insect Pests from Digital Images: A Survey.

Neotropical entomology
Effective pest management requires accurate and continuous monitoring. This monitoring helps assess population dynamics and guides the development of integrated pest management strategies. Traps used to capture insects are an alternative applied to v... read more 

Supervised Learning for Collagen Segmentation in Bright-Field Histology: A Comparative Evaluation of U-Net and MLP.

Annals of biomedical engineering
PURPOSE: Quantifying collagen in histological slides is essential for diagnosing and monitoring fibrosis. However, the combination of PicroSirius Red staining with polarized light microscopy, one of the standard techniques, requires expensive equipme... read more 

The aging eye: navigating molecular mechanisms and innovative interventions.

Biogerontology
The global demographic shift toward aging has precipitated a surge in age-related ocular pathologies, imposing a formidable public health challenge that demands urgent intervention. Blinding disorders such as age-related macular degeneration (AMD), c... read more 

The Evolving Landscape of Vision Rehabilitation: Current Status and Future Directions.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Vision impairment is increasingly recognised as a complex condition shaped not only by ocular pathology but also by cognitive, psychological, social and environmental factors that influence participation and quality of life. In line with the United N... read more 

Automated Measurement of Depigmentation Extent with a New AI Tool Applied to the Example of Vitiligo.

Dermatology and therapy
INTRODUCTION: We have developed a digital algorithm to assess skin pigmentation, specifically an artificial intelligence-based image analysis tool that segments photographed lesions and then scores them by Facial Vitiligo Area Scoring Index (F-VASI),... read more 

A Novel Nomogram for Predicting Meningioma Grade Based on Radiomics Features and Clinical Characteristics.

Current medical science
OBJECTIVE: This study aimed to develop a predictive model utilizing radiomics features and clinical characteristics to accurately differentiate low-grade (WHO grade I) from high-grade (WHO grade II/III) meningiomas preoperatively, thereby improving t... read more