Artificial Intelligence Medical Compendium

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

Showing 861 to 870 of 6,689 articles

A deep learning model for diagnosis of inherited retinal diseases.

Scientific reports
To evaluate the performance of a multi-input deep learning (DL) model in detecting two common inherited retinal diseases (IRDs), i.e. retinitis pigmentosa (RP) and Stargardt disease (STGD), and differentiating them from healthy eyes. This cross-secti... read more 

Detection of fasting blood sugar using a microwave sensor and convolutional neural network.

Scientific reports
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseases globally. Microwave sensing-particularly through microstrip-based sensors-has recently gained att... read more 

Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises.

Scientific reports
Employee loyalty is a major issue of sustainable human resource management. Small and medium-sized enterprises with high technology content and strong innovation ability are the main body of innovation with great vitality and potential. Employee loya... read more 

Transformer based models with hierarchical graph representations for enhanced climate forecasting.

Scientific reports
Accurate climate predictions are essential for agriculture, urban planning, and disaster management. Traditional forecasting methods often struggle with regional accuracy, computational demands, and scalability. This study proposes a Transformer-base... read more 

A dual path graph neural network framework for dementia diagnosis.

Scientific reports
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,... read more 

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Scientific reports
Knee injuries are common in several people, frequently controlling for significant injuries and health care costs. This article explains the role of personalized exercise prescriptions in preventing knee injuries. For this purpose, we used the multic... read more 

Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning.

Scientific reports
Deep learning network models are widely applied to fault diagnosis of planetary gearboxes. However, the multi-coupling fault characteristics, accompanied by data fuzziness and distribution differences, present certain challenges to diagnostic researc... read more 

Metamaterial based tri-band compact MIMO antenna system for 5G IoT applications with machine learning performance verification.

Scientific reports
This paper presents a novel tri-band Multiple Input Multiple Output (MIMO) antenna module designed for millimeter and microwave frequency bands, employing metamaterial (MTM) technology to enhance performance. The compact antenna module measures 36 × ... read more 

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

Scientific reports
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, using data from Bama miniature pigs and patients in Beijing, China. A deep learning model was created and fine-tuned with animal and clinical data, achi... read more 

Scalable geometric learning with correlation-based functional brain networks.

Scientific reports
Correlation matrices serve as fundamental representations of functional brain networks in neuroimaging. Conventional analyses often treat pairwise interactions independently within Euclidean space, neglecting the underlying geometry of correlation st... read more