Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …

Digital tools have greatly improved the detection and diagnosis of oral and dental disorders
like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with …

Automatic classification of Lyme disease rashes on the skin helps clinicians and
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …

Autism spectrum disorder (ASD) is a complex psychological syndrome characterized by
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …

During the fourth energy revolution, artificial intelligence implementation is necessary in all
fields of technology to meet the increasing energy demands and address the diminishing …

Depression is a serious mental state that negatively impacts thoughts, feelings, and actions.
Social media use is rapidly growing, with people expressing themselves in their regional …

Abstract Automatic detection of Diabetic Retinopathy (DR) is critically important, as it is the
primary reason of irreversible loss of vision in the economically active populations in the …

The increase in eye disorders among older individuals has raised concerns, necessitating
early detection through regular eye examinations. Age-related macular degeneration (AMD) …

Object. The existing diagnostic paradigm for diabetic retinopathy (DR) greatly relies on
subjective assessments by medical practitioners utilizing optical imaging, introducing …

Brain tumour segmentation employing MRI images is important for disease diagnosis,
monitoring, and treatment planning. Till now, many encoder‐decoder architectures have …