Artificial Intelligence Medical Compendium

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

Showing 43,941 to 43,950 of 224,055 articles

Rethink context engineering using an attention-based architecture.

Scientific reports
Accurate prediction of user actions is essential for optimizing digital platform workflows, enabling proactive recommendations, resource prefetching, and intelligent user assistance. Traditional Markov chain-based methods, though widely used for mode... read more 

Efficient cardiac MRI multi-structure segmentation for cardiovascular assessment with limited annotation by integrating data-level and network-level consistency.

NPJ digital medicine
Accurate segmentation of anatomical structures in cardiac magnetic resonance imaging (MRI) plays an irreplaceable role in the clinical management of cardiovascular diseases, serving as a cornerstone for precise diagnosis, individualized treatment pla... read more 

Navigating the complexity of AI adoption in psychotherapy by identifying key facilitators and barriers.

Npj mental health research
Artificial intelligence (AI) technologies in mental healthcare offer promising opportunities to reduce therapists' burden and enhance healthcare delivery, yet adoption remains challenging. This study identified key facilitators and barriers to AI ado... read more 

A manta ray-bayesian optimization approach for hyperparameter-tuned convolutional neural networks in lung cancer classification.

Scientific reports
Lung cancer remains a global health challenge that is unavoidable. Despite the advances in lung cancer classification using deep learning models, the performance remains highly dependent on hyperparameter selection, whereas conventional grid or rando... read more 

Adaptive diagnostic reasoning framework for pathology with multimodal large language models.

Communications medicine
BACKGROUND: Artificial intelligence enhances pathology screening efficiency, yet clinical adoption remains limited because most systems operate as opaque black boxes. We aim to resolve this opacity by establishing a framework that generates transpare... read more 

Adaptive machine learning models for predictive maintenance in industrial internet of things (IIoT) systems.

Scientific reports
The research examines how RL and DRL models can be used to enhance the prediction of maintenance needs in the IIoT setting. The purpose is to assess the accuracy, precision, recall, F1 score and the AUC-ROC of adaptive models against non-adaptive mod... read more 

An intelligent approach for early smoke/fire detection using vision sensors in smart cities.

Scientific reports
Early and reliable detection of smoke and fire is essential for minimizing damage and ensuring public safety in smart city environments; however, existing vision-based approaches often suffer from limited contextual understanding, high false-alarm ra... read more