Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

The application of artificial intelligence (AI) in lung cancer, particularly in surgical
approaches, has significantly transformed the healthcare landscape. AI has demonstrated …

Predictive models based on radiomics and machine-learning (ML) need large and
annotated datasets for training, often difficult to collect. We designed an operative pipeline …

Lung cancer is one of the most common causes of cancer deaths in the modern world.
Screening of lung nodules is essential for early recognition to facilitate treatment that …

A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either
cancerous or benign. The first implementations involved the use of machine learning …

High-resolution computed tomography (CT) scans require high doses of X-rays, posing
potential health risks to patients, including genetic damage and cancer. Conversely, low …

Lung cancer is the most frequent cause of cancer-related death around the world. With the
recent introduction of low-dose lung computed tomography for lung cancer screening, there …

Background: Recent advances in Artificial Intelligence (AI) algorithms, and specifically Deep
Learning (DL) methods, demonstrate substantial performance in detecting and classifying …

Lung cancer is one of the malignant tumors with high morbidity and mortality, and lung
nodules are the early stages of lung cancer. The symptoms of pulmonary nodules are not …

Since its introduction in 1955, artificial intelligence (AI) has continued its growth and
expansion across all industries and societal sectors. It took the COVID-19 pandemic for AI …