Artificial Intelligence Medical Compendium

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

Showing 34,961 to 34,970 of 221,633 articles

Artificial neural networks (ANN) and response surface methodology (RSM) for optimizing antioxidant and α-amylase inhibitory compound extraction from Ballota limbata.

Scientific reports
Ballota limbata (syn. Otostegia limbata), a medicinal plant with various ethno-therapeutic uses, was investigated for the recovery of its bioactive compounds using sustainable extraction strategies. This study compared microwave-assisted extraction (... read more 

Cardiac myofibril networks induce shear stress.

NPJ systems biology and applications
Myofibril arrangement is critical to cardiac muscle function in health and disease. Historically, analysis of the impact of myofibril organisation on force and cell contraction has relied on the assumption of uniaxial arrays. However, improvements in... read more 

Development of a web platform for predicting fall risk in cardiovascular patients using machine learning.

Scientific reports
The aim of this study was to develop and validate a machine learning-based fall risk prediction model for middle-aged and elderly individuals with cardiovascular disease. Data were sourced from the China Health and Retirement Longitudinal Study. Key ... read more 

Modified ShuffleNet trained on gradient pattern and shape-based features for lung cancer classification with improved M-SegNet segmentation.

Scientific reports
Lung cancer (LC) is one of the leading causes of death globally. Early detection is essential for saving lives and ensuring effective treatment for patients. When medical professionals can proactively diagnose and classify the condition, they can pro... read more 

A novel approach for disease and pests detection in potato production system based on deep learning.

Scientific reports
Vulnerability of potato crops to diseases and pest infestation can affect its quality and lead to significant yield losses. Timely detection of such diseases can help take effective decisions. For this purpose, a deep learning-based object detection ... read more