Artificial Intelligence Medical Compendium

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

Showing 43,931 to 43,940 of 224,055 articles

Integrating target, nontarget analysis with machine learning to illuminate PFAS characteristics and health risks in Chinese cosmetics.

Environmental pollution (Barking, Essex : 1987)
Per- and polyfluoroalkyl substances (PFAS) are extensively incorporated into cosmetics to enhance durability and water resistance. However, their pervasive application in cosmetic products has raised concerns regarding the potential health risks asso... read more 

Sensitivity and uncertainty analyses for model of olfaction using Dempster-Shafer theory and neural networks.

Mathematical biosciences
Olfactory systems in arthropods rely on arrays of chemosensory hairs (sensilla) that interact with the surrounding fluid to capture odor cues. The fluid dynamics depend on both morphological parameters and flow conditions, and variability in these in... read more 

The role of medical imaging in translational research into early pulmonary tuberculosis.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Early detection of tuberculosis (TB) is central to global efforts for TB care and prevention. Conventional symptom-based screening and sputum microbiology fail to identify a substantial proportion of cases, particularly those that are asymptomatic or... read more 

Artificial intelligence-based biomarkers for the diagnosis and treatment of neurological conditions: a narrative review.

Molecular brain
Artificial intelligence (AI) is transforming biomarker discovery in neurology by overcoming key limitations of conventional approaches that are often slow, reductionist, and unable to integrate complex multimodal data. In this narrative review, we se... read more 

Survival prediction for bladder cancer using multimodal data with quantum neural networks and transformer architectures.

Scientific reports
To address the challenges of cross-modal information fusion in high-dimensional multimodal medical data for cancer prognosis, this study presents a hybrid diagnostic accuracy model for cancer survival prediction, integrating quantum computing with cl... read more 

MeMoSA dataset: A multi-country collection of over 30,000 oral mucosa images with clinically labelled lesions.

Scientific data
The rising incidence of oral cancer and associated poor prognosis, primarily due to delayed diagnosis, highlight the urgent need for artificial intelligence tools in clinical detection. However, efforts in this regard are hampered by the lack of larg... read more 

Intelligent monitoring and anomaly detection for power service processes based on spatiotemporal attention mechanism.

Scientific reports
Power service process monitoring faces critical challenges in capturing complex spatiotemporal dependencies and identifying anomalies across distributed operational networks. This paper proposes an intelligent monitoring system incorporating spatiote... read more 

Machine Learning-Based Reconstructions of Historical Daily and Monthly Runoff for the Laurentian Great Lakes.

Scientific data
High-quality regional streamflow datasets are necessary to support local water resources planning and management in the Great Lakes basin. However, the region's observed streamflow records are limited by the availability of surface water gauges, whic... read more