Artificial Intelligence Medical Compendium

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

Showing 241 to 250 of 6,548 articles

Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble.

Scientific reports
Diabetes is a chronic condition brought on by either an inability to use insulin effectively or a lack of insulin produced by the body. If left untreated, this illness can be lethal to a person. Diabetes can be treated and a good life can be led with... read more 

Histology image analysis of 13 healthy tissues reveals molecular-histological correlations.

Scientific reports
Gene expression is an important process in which genes guide the synthesis of proteins, and molecular-level differences often lead to individual phenotypic variations. Combining molecular information at the nano-level with phenotypic information at t... read more 

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments.

Scientific reports
The emerging density in today's urban environments requires a strong multi-camera architecture for real-time abnormality detection and behavior analysis. Most of the existing methods tend to fail in detecting unusual behaviors due to occlusion, dynam... read more 

Development and validation of a deep learning image quality feedback system for infant fundus photography.

Scientific reports
Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare institutions face a shortage of well-trained ophthalmologists for conducting screenings. Hence, we have developed the Deep Learning Infant Fundus Quality ... read more 

ML modeling of ultimate and relative bond strength for corroded rebars based on concrete and steel properties.

Scientific reports
Corrosion-induced bond strength degradation between reinforcing bars and concrete significantly compromises the durability and structural performance of reinforced concrete (RC) systems. Accurate prediction of bond behavior under corrosion is critica... read more 

Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.

Scientific reports
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. Machine learning (ML) has the po... read more 

A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment.

Scientific reports
This study enhances cybersecurity risk assessment by integrating Bayesian Networks (BN) and Logistic Regression (LR) models, using data from the CISA Known Exploited Vulnerabilities catalog. First, a probabilistic causal model is built as a BN to cap... read more 

Educational impacts of generative artificial intelligence on learning and performance of engineering students in China.

Scientific reports
With the rapid advancement of generative artificial intelligence (AI), its potential applications in higher education have attracted significant attention. This study investigated how 148 students from diverse engineering disciplines and regions acro... read more 

Machine learning and microfluidic integration for oocyte quality prediction.

Scientific reports
Despite advancements in in vitro fertilization (IVF) over the past 30 years, its outcome effectiveness remains low (20-40%). This study introduces a microfluidic-based machine learning framework to improve predictive accuracy in oocyte quality assess... read more 

Machine learning in subsurface physical properties and lithofacies prediction in a mining context.

Scientific reports
To address energy challenges linked to decarbonization, geosciences are focusing more on advancing mineral resource exploration and exploitation. This study uses the Iberian Pyrite Belt, one of the world's largest metallogenic provinces, as a test si... read more