The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

Computational methods for lung sound analysis are beneficial for computer-aided diagnosis
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …

Background Over the last decade, mobile health applications (mHealth App) have evolved
exponentially to assess and support our health and well-being. Objective This paper …

Computerized auscultation of lung sounds is gaining importance today with the availability
of lung sounds and its potential in overcoming the limitations of traditional diagnosis …

Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

Auscultation plays an important role in the clinic, and the research community has been
exploring machine learning (ML) to enable remote and automatic auscultation for respiratory …

Diagnostic ambiguity between chronic pulmonary diseases like asthma and Chronic
Obstructive Pulmonary Disease (COPD) is very high, as they exhibit similar symptoms …

COVID-19 has affected many people across the globe. Though vaccines are available now,
early detection of the disease plays a vital role in the better management of COVID-19 …

Heart failure (HF) exacerbations, characterized by pulmonary congestion and
breathlessness, require frequent hospitalizations, often resulting in poor outcomes. Current …