Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …

Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …

One of the key aspects of the diagnosis and treatment of atypical femoral fractures is the
early detection of incomplete fractures and the prevention of their progression to complete …

Photoacoustic imaging is an emerging biomedical imaging technique that combines optical
contrast and ultrasound resolution to create unprecedented light absorption contrast in deep …

“Alzheimer's disease”(AD) is a neurodegenerative disorder in which the memory shrinks and
neurons die.“Dementia” is described as a gradual decline in mental, psychological, and …

With the advent of the Deep learning era, an unprecedented change has come in the field of
medical image analysis via CAD (Computer-Aided Diagnosis)[1]–[13] system. With feature …

Background Lung cancer is the leading cause of cancer-related deaths worldwide. The
majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for …

Nowadays, despite all the conducted research and the provided efforts in advancing the
healthcare sector, there is a strong need to rapidly and efficiently diagnose various …

Given the inherent risks in medical decision-making, medical professionals carefully
evaluate a patient's symptoms before arriving at a plausible diagnosis. For AI to be widely …