Alzheimer's disease (AD) is a neurological disorder that significantly impairs cognitive
function, leading to memory loss and eventually death. AD progresses through three stages …

The healthcare industry is currently experiencing a digital revolution driven by developments
in information technology. This transformation is geared to improve health care, diagnosis …

In this day and age, depression is still one of the biggest problems in the world. If left
untreated, it can lead to suicidal thoughts and attempts. There is a need for proper …

The amount of data generated owing to the rapid development of the Smart Internet of
Things is increasing exponentially. Traditional machine learning can no longer meet the …

Artificial intelligence (AI) has a significant impact on the field of health care, particularly
imaging and video analyses. It can considerably support clinical decision-making, including …

Background Mental disorders (MDs) are becoming a leading burden in non-communicable
diseases (NCDs). As per the World Health Organization's 2022 assessment report, there …

Federated learning (FL) has emerged as one of the de-facto privacy-preserving paradigms
that can effectively work with decentralized data sources (eg, hospitals) without acquiring …

This study presents a novel approach for the early diagnosis of prevalent chest diseases,
including COVID-19, pneumonia, and lung cancer, utilizing advanced machine learning …

The proliferation of IoT devices requires innovative approaches to gaining insights while
preserving privacy and resources amid unprecedented data generation. However, FL …

The use of Convolutional Neural Networks (CNNs) for early identification of banana leaf
diseases is a significant advancement in the area of image recognition technology. The …