Artificial Intelligence Medical Compendium

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

Showing 28,471 to 28,480 of 219,260 articles

Personalized Treatment Selection for Digital Eating Disorder Interventions: A Proof-of-Concept for the Personalized Advantage Index.

The International journal of eating disorders
OBJECTIVE: Although a range of evidence-based treatments for eating disorders exist, treatment response varies substantially. The ability to match individuals to a treatment which they are most likely to benefit from may help improve treatment effici... read more 

LLM-enabled adaptive scheduling in IoT sensing for optimized network performance.

Scientific reports
The use of numerous sensors on edge devices, combined with the emergence of AI techniques, makes the IoT environment more intelligent and interactive. The resulting paradigm encompasses device-centric systems that operate instantly and remotely with ... read more 

Forecasting Nasdaq stock exchange time series using an improved recurrent spiking Pi-Sigma artificial neural network.

Scientific reports
Due to their flexible model structures and their success in nonlinear modelling, artificial neural networks provide good alternatives for solving the forecasting problem. It is seen that different artificial neuron models can positively affect the fo... read more 

Adaptive feature fusion network for machine fault diagnosis with multiple knowledge based graphs.

Scientific reports
In the field of intelligent fault diagnosis, graph neural networks (GNNs) can create a richer fault feature space by modeling dependencies between sensor signals and embedding them in a structural attribute graph. However, existing GNNs models typica... read more 

SCMEO-DETR provides a lightweight and high efficiency solution for PCB defect detection based on RT-DETR.

Scientific reports
Printed Circuit Board (PCB) defect detection is essential for ensuring reliability in electronic manufacturing, as defects such as spur, mouse bites, missing holes, and open circuits can severely degrade performance or cause board failure. Traditiona... read more 

From pixels to pathology: how artificial intelligence mammographic risk scores capture tumor biology through imaging.

European radiology
OBJECTIVES: To characterize clinical-pathologic tumor features associated with artificial intelligence (AI)-generated risk scores from prior-year screening mammograms. MATERIALS AND METHODS: This retrospective study included women who underwent breas... read more 

TCMNet: dynamic tanh enhanced 3D transformer with cascaded multiplicative fusion for pulmonary nodule detection.

Scientific reports
Early detection of pulmonary nodules plays a critical role in improving the survival rate of patients with lung cancer. However, existing detection methods often exhibit limited feature stability and inadequate contextual awareness, particularly when... read more 

Cohort vs case-control design for transformer-based prediction of asthma exacerbations in mild asthma.

NPJ digital medicine
Acute asthma exacerbation (AAE) is among the most serious outcomes of asthma, and accurate prediction of its risk remains a key challenge. Existing electronic health record-based prediction models have typically adopted either cohort or case-control ... read more