Medical cancer rehabilitation healthcare center data maintenance is a global challenge with
increased mortality risk. The Internet of Things (IoT)-based applications in healthcare were …

Deep learning has been widely applied in breast cancer screening to analyze images
obtained from X-rays, ultrasound, magnetic resonances, and biopsies. This study suggests …

The use of the traditional drug discovery method was seen to be inaccurate, time-
consuming, and costly. As a result, deep learning was argued to be the accurate method of …

IoT-based medical wearable device developed for continuous health monitoring, with a
focus on establishing Electronic Health Records (EHRs). The device employs Internet of …

We suggest that deep learning can be used for pre-screening cancer by analyzing
demographic and anthropometric information of patients, as well as biological markers …

Deep learning (DL) has been widely used for clinical applications like neuroimaging.
Clinical applications based on DL have been studied for the analysis of neuroimaging such …

The squat is one the most popular and important sports activities for developing strength and
power to lower limbs and is commonly included in conditioning and rehabilitation programs …

The squat is one the most popular and important sports activities for developing strength and
power to lower limbs and is commonly included in conditioning and rehabilitation programs …

Although microwave imaging has been researched in various applications for about 40
years, its use in biomedical applications is a more recent endeavor. In this thesis, we …

Uso de inteligencia artificial como herramienta para predicción de accidentes en los
hogares para niños menores de 12 años Page 1 Uso de inteligencia artificial como …