Diagnostic Accuracy of Radiomics in the Early Detection of Pancreatic Cancer: A Systematic Review and Qualitative Assessment Using the Methodological Radiomics Score (METRICS).

Background/objectives: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive and lethal malignancy with increasing incidence and low survival rate, primarily due to the late detection of the disease. Radiomics has demonstrated its utility in recognizing patterns and anomalies not perceptible to the human eye. This systematic literature review aims to assess the application of radiomics in the analysis of pancreatic parenchyma images to identify early indicators predictive of PDAC.

Complementing emergy evaluation and life cycle assessment for enlightening the environmental benefits of using engineered timber in the building sector.

Engineered timber can represent a great opportunity to mitigate the large impacts due to the global building sector. However, the most applied environmental assessment methodologies such a life cycle assessment (LCA) might show limited advantages when comparing the impact on climate change of buildings made of traditional materials, such as concrete and steel, and building based on engineered timber. This work proposes emergy evaluation (EME) as a complementary environmental assessment methodology.

The association between gestation at birth and maternal sensitivity: An individual participant data (IPD) meta-analysis.

Background And Aim: Studies have documented differences in dyadic sensitivity between mothers of preterm (<37 weeks' gestation) and term born children, but findings are inconsistent and studies often include small and heterogeneous samples. It is not known to what extent variations in maternal sensitivity are associated with preterm birth across the full spectrum of gestational age.

Objective: To perform a systematic review and individual participant data (IPD) meta-analysis assessing variations in observed dyadic maternal sensitivity according to child gestational age at birth, while adjusting for known confounders correlated with maternal sensitivity.

Guiding AI in radiology: ESR's recommendations for effective implementation of the European AI Act.

This statement has been produced within the European Society of Radiology AI Working Group and identifies the key policies of the EU AI Act as they pertain to medical imaging. It offers specific recommendations to policymakers and the professional community for the effective implementation of the legislation, addressing potential gaps and uncertainties. Key areas include AI literacy, classification rules for high-risk AI systems, data governance, transparency, human oversight, quality management, deployer obligations, regulatory sandboxes, post-market monitoring, information sharing, and market surveillance.