Invasive lobular cancer (ILC) is the second most common type of breast cancer. It is
characterized by a unique growth pattern making it difficult to detect on conventional breast …

Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …

The recent development of Monkeypox disease among various nations poses a global
pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19). At its …

This study investigated the usefulness of deep learning-based automatic detection of
temporomandibular joint (TMJ) effusion using magnetic resonance imaging (MRI) in patients …

Background: The accurate classification between malignant and benign breast lesions
detected on mammograms is a crucial but difficult challenge for reducing false-positive recall …

The utilization of artificial intelligence (AI) in the detection and treatment of breast cancer is
attracting attention. AI technologies are crucial in shaping the future of breast surgery and …

AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …

The aim of this informative review was to investigate the application of radiomics in cancer
imaging and to summarize the results of recent studies to support oncological imaging with …

Objective: To help improve radiologists' efficacy of disease diagnosis in reading computed
tomography (CT) images, this study aims to investigate the feasibility of applying a modified …

Simple Summary Early cancer detection is crucial for favorable patient outcomes, with
mammography playing a central role in breast cancer detection. However, challenges …