Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …

The fast-growing number of patients suffering from various ailments has overstretched the
carrying capacity of traditional healthcare systems. Often, it becomes challenging to get …

Artificial intelligence (AI) is a modern approach based on computer research that aims to
create algorithms and programs that make machines clever and effective at carrying out jobs …

The application of machine learning methods to analyze histological images has led to
significant advances in computer-aided diagnosis. In this work, a study was carried out to …

This research developed a model to explore medical students' acceptance of an AI
diagnosis support system. Using UTAUT, a cross-sectional survey of 223 Delhi/NCR …

Shortly, the IoT with the combination of IoMT will interact with machines and implement real-
time interferences, which will deeply change the way healthcare is delivered, and is …

This chapter presents a comprehensive discussion of medical image modalities and
processing techniques. The importance, requirements, and unique challenges facing …

This chapter centers on AIoMT training, testing, and validation. The application scope of
artificial intelligence (AI) continues to widen across many domains, such as the medical field …

Wide use of images to encrypt information has heightened the need for a resourceful
classifier such as convolution neural networks (CNN) to detect whether an image is exactly …

The population of patients attended by the health centers of the Institute of Health Services
of the State of Aguascalientes (ISSEA) is increasing every day with a total of more than …