The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review.

Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. Recent advancements showcase AI's ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning.

Sensors and Advanced Sensing Techniques for Computer Vision Applications.

Computer vision is a multidisciplinary field that enables machines to interpret and understand visual information from the world, simulating human vision [...

Cardiovascular PET imaging of fibroblast activation A review of the current literature.

Fibrosis is one of the key healing responses to injury, especially within the heart where it helps to maintain structural integrity following acute insults such as myocardial infarction. However, if it becomes dysregulated then fibrosis can become maladaptive leading to adverse remodelling, impaired cardiac function and heart failure. Fibroblast activation protein is exclusively expressed by activated fibroblasts, the key effector cells of fibrogenesis, and has a unique extracellular domain that is an ideal ligand for novel molecular imaging probes.

18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Large-Vessel Vasculitis During Active and Inactive Disease Stages Is Associated with the Metabolic Profile, but Not the Macrophage-Related Cytokines: A Proof-of-Concept Study.

Giant cell arteritis (GCA) is an autoimmune/autoinflammatory disease affecting large vessels in patients over 50 years old. The disease presents as an acute inflammatory response with two phenotypes, cranial GCA and large-vessel vasculitis (LV)-GCA, involving the thoracic aorta and its branches. 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET-CT) is among the imaging techniques contributing to diagnosing patients with systemic disease.

Retrospective cumulative dietary risk assessment of craniofacial alterations by residues of pesticides.

In 2022, the European Food Safety Authority (EFSA) conducted a dietary cumulative risk assessment for active substances of plant protection products on two types of craniofacial alterations: 1) craniofacial alterations due to abnormal skeletal development and 2) head soft tissue alterations and brain neural tube defects. These effects were selected based on developmental biology knowledge and a hypothetical teratogenic process. Cumulative risk assessment was conducted for 14 European populations of women in childbearing age.