Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …

Pulmonary hypertension (PH) is highly prevalent in patients with interstitial lung disease
(ILD) and is associated with increased morbidity and mortality. Widely available noninvasive …

Background There is clinical need to better quantify lung disease severity in pulmonary
hypertension (PH), particularly in idiopathic pulmonary arterial hypertension (IPAH) and PH …

Chronic Obstructive Pulmonary Disease (COPD) is a major health concern worldwide, the
third leading cause of death. However, it often goes unnoticed until it reaches severe stages …

Lung cancer, the leading cause of cancer-related deaths globally, presents significant
challenges in early detection and diagnosis. The effective analysis of pulmonary medical …

Cancer is a complex and heterogeneous disease that challenges healthcare professionals
with its unpredictable behavior and resistance to treatment. Currently, personalized cancer …

Precisely identifying sulcal features in brain MRI is made challenging by the variability of
brain folding. This research introduces an innovative 3D explainability frame-work that …

Explainability is often critical to the acceptable implementation of artificial intelligence (AI).
Nowhere is this more important than healthcare where decision-making directly impacts …

Purpose: Lung disease assessment in precapillary pulmonary hypertension (PH) is
essential for appropriate patient management. This study aims to develop an artificial …

Lung sicknesses, which include continual obstructive pulmonary ailment (COPD), are a big
international health difficulty, affecting hundreds of thousands of humans every 12 months …