AIMC Topic: Occupational Injuries
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Computer vision and tactile glove: A multimodal model in lifting task risk assessment.
Applied ergonomics
Apr 1, 2025
Work-related injuries from overexertion, particularly lifting, are a major concern in occupational safety. Traditional assessment tools, such as the Revised NIOSH Lifting Equation (RNLE), require significant training and practice for deployment. This...
Neuro-fuzzy prediction model of occupational injuries in mining.
International journal of occupational safety and ergonomics : JOSE
Sep 23, 2024
This study investigates the possibility of developing a unique model for predicting work-related injuries in Serbian underground coal mines using neural networks and fuzzy logic theory. Accidents are common due to the unique nature of underground mi...
A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach.
Surgical endoscopy
Sep 16, 2024
BACKGROUND: Surgical specialists experience significant musculoskeletal strain as a consequence of their profession, a domain within the healthcare system often recognized for the pronounced impact of such issues. The aim of this study is to calculat...
Robot-related injuries in the workplace: An analysis of OSHA Severe Injury Reports.
Applied ergonomics
Jul 16, 2024
Industrial robots are increasingly commonplace, but research on prototypical accidents and injuries has been sparse, hindering evidence-based safety strategies. Using Severe Injury Reports (SIRs) from the U.S. Occupational Safety and Health Administr...
Daily planning conversations and AI: Keys for improving construction culture, engagement, planning, and safety.
American journal of industrial medicine
May 29, 2024
The construction industry is known for its inherent risks, contributing to ~170,000 workplace injuries and illnesses annually in the United States. Engaging in prejob safety discussions presents a crucial chance to safeguard workers by proactively re...
Robot-related fatalities at work in the United States, 1992-2017.
American journal of industrial medicine
Feb 27, 2023
BACKGROUND: Industrial robots became more commonplace in the US workplace during the mid- to latter part of the twentieth century. Recent scientific advances have led to the development of new types of robots, resulting in rapidly changing work envir...
Machine learning prediction of combat basic training injury from 3D body shape images.
PloS one
Jun 30, 2020
INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme physical activity. A method to predict which individuals might be more susceptible to injury would be valuable, especially in the military where basic...
A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt.
International journal of injury control and safety promotion
Apr 1, 2020
The quality of vehicular collision data is crucial for studying the relationship between injury severity and collision factors. Misclassified injury severity data in the crash dataset, however, may cause inaccurate parameter estimates and consequentl...
Identification of a closed cutaneous injury after mechanical trauma caused by collision.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Jan 11, 2019
PURPOSE: Robotics has evolved rapidly in terms of mechanical design and control in the past few years. Collaborative robots that have direct contact with humans are being introduced in various fields, including industrial and medical services. Becaus...
Harnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillance.
Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
Jan 4, 2016
OBJECTIVE: Vast amounts of injury narratives are collected daily and are available electronically in real time and have great potential for use in injury surveillance and evaluation. Machine learning algorithms have been developed to assist in identi...
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