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Article Abstract

The issue of occupational health and safety (OHS) is currently a pressing and essential challenge for improving production processes and workplace environments, particularly in manufacturing enterprises. With increasing demands for efficiency and workplace safety, it is crucial to implement innovative approaches that enhance accident prevention and safeguard employees' health. These approaches contribute to the long-term sustainability of enterprises and reduce costs associated with workplace injuries and occupational diseases. The core focus of this article is to present the ALrisk model for OHS risk assessment and management, outlining its key components, as well as the results and benefits of its verification in specific job positions within manufacturing enterprises in Slovakia. The study employed scientific methods, along with risk identification, analysis, and workplace condition assessment methods, in the development and verification of the ALrisk model. These methods contributed to a more precise identification of factors endangering employees' safety and health and enabled the formulation of solutions for their mitigation. The application results indicate that the proposed model provides a more effective method for assessing occupational risks, thereby enhancing prevention-reducing health hazards for employees and improving overall workplace safety. The article offers practical insights into the application of the ALrisk model as an innovative and systematic approach within the specific conditions of manufacturing enterprises. The findings of the study serve as a valuable resource for OHS managers and senior employees seeking to improve workplace safety and accident prevention within their production processes. Moreover, the results are beneficial for other professionals engaged in OHS, particularly in the assessment and management of occupational risks, not only in Slovakia but also across European countries.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12111107PMC
http://dx.doi.org/10.3390/ijerph22050757DOI Listing

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The issue of occupational health and safety (OHS) is currently a pressing and essential challenge for improving production processes and workplace environments, particularly in manufacturing enterprises. With increasing demands for efficiency and workplace safety, it is crucial to implement innovative approaches that enhance accident prevention and safeguard employees' health. These approaches contribute to the long-term sustainability of enterprises and reduce costs associated with workplace injuries and occupational diseases.

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Artificial intelligence assists surgeons' decision-making of temporary ileostomy in patients with rectal cancer who have received anterior resection.

Eur J Surg Oncol

February 2023

Department of Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China; Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China. Electronic address:

Background: Due to the difficult evaluation of the risk of anastomotic leakage (AL) after rectal cancer resection, the decision to perform a temporary ileostomy is not easily distinguishable. The aim of the present study was to develop an artificial intelligence (AI) model for identifying the risk of AL to assist surgeons in the selective implementation of a temporary ileostomy.

Materials And Methods: The data from 2240 patients with rectal cancer who received anterior resection were collected, and these patients were divided into one training and two test cohorts.

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