AIMC Topic: Occupational Exposure

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Monitoring of occupational exposure to hazardous medicinal products in robotic compounding.

European journal of hospital pharmacy : science and practice
OBJECTIVE: This study aims to evaluate the risk of occupational exposure to hazardous medicinal products (HMPs) when utilising robotic compounding systems for the preparation of antineoplastic sterile medications. Specifically, it assesses the levels...

Application of machine learning for identification of key exposure predictors for heavy metal accumulation in hair of traffic police officers in Tehran.

The Science of the total environment
In order to determine variability and measure the major exposure factors affecting the levels of hazardous metals (such as Fe, Mn, Ni, Pb, As, Cr, and Cu) in the scalp hair of Tehran traffic police personnel, an advanced statistical method is used. T...

Evaluation of an Autonomous Robotic System for Reducing Radiation Risk in a Real-World Cardiac Imaging Laboratory.

Journal of medical systems
BACKGROUND: Nuclear imaging is the cornerstone of clinical practice across many disciplines. Few innovations in imaging have addressed occupational health of radiographers exposed to radiation in their daily work. In this proof-of-concept study, we h...

Wearable sensors for monitoring workplace chemical exposures in occupational health management.

Analytical methods : advancing methods and applications
This review evaluates the current state of wearable chemical sensors for occupational health applications, emphasizing both their promise and their limitations. We systematically compare electrochemical, optical, photoionization, and chemiresistive p...

A fuzzy based hybrid approach for risk assessment of anesthesiologists using OPA and EDAS methods.

Scientific reports
Anesthesiologists are exposed to numerous occupational hazards due to the demanding nature of their profession and the complex environment in which they operate. Classical risk assessment approaches often fall short in addressing the multidimensional...

Artificial intelligence and the wellbeing of workers.

Scientific reports
This study explores the relationship between artificial intelligence (AI) and workers' well-being and health using longitudinal survey data from Germany (2000-2020). Using a measure of occupational exposure to AI, we explore an event study design and...

Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations.

Scientific reports
This study aimed to explore the combined impacts of occupational noise and dust on hearing and extra-auditory functions and identify associated risk factors via machine learning techniques. Data from 14,145 workers (627 with occupational noise-induce...

Risk assessment with the fuzzy Fine-Kinney method in a business operating in the metal industry.

International journal of occupational safety and ergonomics : JOSE
Occupational risk assessment involves examining and ranking the risks and hazards in a production or service facility, focusing on workplace health and safety. This study aims to address the deficiencies of traditional methods by applying a fuzzy log...

Genomic and algorithm-based predictive risk assessment models for benzene exposure.

Frontiers in public health
AIM: In this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.