Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis: Neural Network-based Methods for Liver Semantic Segmentation

The use of artificial intelligence (AI) in the segmentation of liver structures in medical images has become a popular research focus in the past half-decade. The performance of AI tools in screening for this task may vary widely and has been tested in the literature in various datasets. However, no scientometric report has provided a systematic overview of this scientific area. This article presents a systematic and bibliometric review of recent advances in neuronal network modeling approach...

Deep Learning in Radiation Oncology Treatment Planning for Prostate Cancer: A Systematic Review

Radiation oncology for prostate cancer is important as it can decrease the morbidity and mortality associated with this disease. Planning for this modality of treatment is both fundamental, time-consuming and prone to human-errors, leading to potentially avoidable delays in start of treatment. A fundamental step in radiotherapy planning is contouring of radiation targets, where medical specialists contouring, i.e., segment, the boundaries of the structures to be irradiated. Automating this st...

Integrative and systematic review on biomass and waste co-gasification: challenges, trends, and future perspectives

This work analyzed the evolution of research in gasification and co-gasification through a comprehensive bibliometric review from 2015 to 2025. To this end, it was necessary to develop a Python pipeline to consolidate records from Web of Science, Scopus, and ScienceDirect, given the failure of standard bibliometric software to reliably handle export format incompatibilities. Of the initial 128,056 records, 1,123 publications were defined under the PRISMA guidelines, focusing on thermodynamic ...

Truck Driver Safety: Factors Influencing Risky Behaviors on the Road-A Systematic Review

Truck drivers play a pivotal role in global freight transport systems, yet their occupational and behavioral risk exposures make them a priority population in road safety research. This systematic review examines the factors influencing risky driving behaviors among truck drivers and their impacts on road safety outcomes. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, the review aimed to identify hazardous driving behaviors, the inte...