Multimodal treatment improves survival in patients with lung metastases from colorectal cancer: A network meta-analysis.

Aim: The lungs represent the second most common site of colorectal cancer metastases. Although surgery is commonly considered the best treatment, many other invasive and noninvasive procedures and treatments have been adopted to improve patient survival and there is no clear evidence in the literature of which is the more effective. The aim of this work was to identify which treatment confers the best gain in overall survival for patients with pulmonary metastases from colorectal cancer.

Artificial Intelligence Techniques for Prognostic and Diagnostic Assessments in Peripheral Artery Disease: A Scoping Review.

Peripheral artery disease (PAD) is a major public health concern worldwide, associated with high risk of mortality and morbidity related to cardiovascular and adverse limb events. Despite significant advances in both medical and interventional therapies, PAD often remains under-diagnosed, and the prognosis of patients can be difficult to predict. Artificial intelligence (AI) has brought a wide range of opportunities to improve the management of cardiovascular diseases, from advanced imaging analysis to machine-learning (ML)-based predictive models, and medical data management using natural language processing (NLP).

Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence.

Liver vessel segmentation from routinely performed medical imaging is a useful tool for diagnosis, treatment planning and delivery, and prognosis evaluation for many diseases, particularly liver cancer. A precise representation of liver anatomy is crucial to define the extent of the disease and, when suitable, the consequent resective or ablative procedure, in order to guarantee a radical treatment without sacrificing an excessive volume of healthy liver. Once mainly performed manually, with notable cost in terms of time and human energies, vessel segmentation is currently realized through the application of artificial intelligence (AI), which has gained increased interest and development of the field.

A Comprehensive Insight into the Economic Profile of People Receiving Metabolic and Bariatric Surgery Use in France.

Background: The use of metabolic and bariatric surgery (MBS) is not uniformly distributed within the population, even if it is governed by established guidelines. This disparity seems to be associated, among other factors, with the economic profile of people receiving this surgery.

Objectives: We investigated the disparities in the use of MBS with respect to the socio-economic level in France based on socio-economic status (SES).