A Picture Says Thousands of Words
Harnessing Dermal Exposure Data from Images
CONTENTS
A PICTURE SAYS THOUSANDS OF WORDS
HARNESSING DERMAL EXPOSURE DATA FROM IMAGES THROUGH HYBRID DEEP LEARNING FOR ENHANCED SAFETY ASSESSMENT
To evaluate the capabilities and readiness of deep learning technology to improve dermal exposure estimates, the authors conducted a proof-of-concept study focused on quantification of exposed skin areas from images of indoor painting.
BY HUA QIAN, MANISHA KOTHA, TUAN TRAN, JENNIFER SHIN, AND HAINING ZHENG
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PROTECTING STONE WORKERS
REDUCING EXPOSURE TO RESPIRABLE CRYSTALLINE SILICA DURING STONE COUNTERTOP FABRICATION
Recent NIOSH research findings shed light on assessing RCS exposure and providing exposure controls. In this article, a team from NIOSH addresses questions that are critical to protecting workers in the stone countertop industry.
BY CHAOLONG QI, DREW THOMPSON, AND URSULA “ASHA” BROGAN
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FROM SILENCE TO SAFETY
ENSURING SAFE SPACES FOR NON-RETALIATION REPORTING
Through better reporting of near misses and other safety incidents, OEHS professionals can improve workers’ quality and quantity of life. This article helps OEHS professionals lay the foundations for effective incident reporting systems.
BY ANNE THOM
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CONTRIBUTORS
HUA QIAN, FEATURE AUTHOR
Hua Qian, PhD, is an exposure scientist and AI lead in health and environmental sciences at ExxonMobil Biomedical Sciences Inc.
CHAOLONG QI, FEATURE AUTHOR
Chaolong Qi, PhD, PE, is an engineer consultant in the Engineering and Physical Hazards Branch, Division of Field Studies and Engineering at NIOSH.
ANNE THOM, FEATURE AUTHOR
Anne Thom, OHST, is a senior health, safety, and environment advisor with Safety Management Group.
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