Deep learning has emerged as a powerful tool in various domains, revolutionising machine
learning research. However, one persistent challenge is the scarcity of labelled training …

Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Simple Summary Radiogenomics is a relatively new advancement in the understanding of
the biology and behaviour of cancer in response to conventional treatments. One of the most …

Big-medical-data classification and image detection are crucial tasks in the field of
healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring …

To enhance the accuracy of brain tumor diagnosis and treatment, reliance on MRI images is
crucial. However, human error in manual diagnosis remains a concern, underscoring the …

Detecting violence in various scenarios is a difficult task that requires a high degree of
generalisation. This includes fights in different environments such as schools, streets, and …

The degree of compaction in the levee building materials is a crucial factor that affects the
pi** phenomena. The density and compaction of the soil strata determine the structural …

Multiple pathologic conditions can lead to a diseased and symptomatic glenohumeral joint
for which total shoulder arthroplasty (TSA) replacement may be indicated. The long-term …