Artificial Intelligence Medical Compendium

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

Showing 52,671 to 52,680 of 225,341 articles

Particulate matter (PM2.5 and PM10) prediction using fourier series decomposition in combination with LSTM and SVM.

Scientific reports
Sustainable development globally is highly impacted by increased air pollution which is attributed to increasing population, commercial and industrial activities. Combustion gas emissions attributed to transportation, social and other activities are ... read more 

Urban environmental determinants and their effects on mental health, physical function, and quality of life in older adults: a multidimensional study in Shiraz, Iran.

Scientific reports
Urbanization and aging populations challenge public health in developing cities like Shiraz, where environmental factors significantly influence old adults' health. This study examined urban environmental impacts on older adults' health in Shiraz and... read more 

The potential of optical coherence tomography angiography in progressive multiple sclerosis.

Journal of neurology
Early detection and monitoring of neurodegenerative processes in persons with multiple sclerosis (PwMS) is currently a major challenge. Optical coherence tomography angiography (OCTA) is an emerging method to visualize retinal vascular architecture. ... read more 

Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning.

NPJ digital medicine
Cardiac resynchronization therapy (CRT) is a common intervention for patients with dyssynchronous heart failure, yet approximately one-third of recipients fail to respond, partly due to suboptimal lead placement. Identifying optimal pacing sites rema... read more 

Accessible assessment of motor and cognitive symptoms in Parkinson's disease: integrating large datasets, machine-learning, and videoconferencing.

NPJ digital medicine
In-person motor and cognitive assessments for Parkinson's disease(PD) face accessibility, scalability, and geographical diversity challenges. We aimed to address these by integrating large datasets, machine learning (ML), and videoconferencing. We de... read more 

CMC-WDTK: CpG methylation change prediction by a weight-sharing dual-branch Transformer-Kolmogorov-Arnold network model.

BMC genomics
Differential methylation is a key epigenetic process contributing to cancer development. Most DNA methylation prediction methods rely on DNA sequences from the background reference genome, neglecting individual genetic variation, which limits their a... read more