Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-1162
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-09-22T06:53:24.044315Z
status: published
lens: p_space
sector: science
headline: Applications of artificial intelligence in occupational noise assessment and noise‑related health outcomes: a scoping review
dek: Occupational noise remains one of the most prevalent workplace hazards worldwide and is associated with a wide range of adverse health effects, particularly noise‑induced hearing loss (NIHL). Recently, artificial intelligence (AI) has been increasingly applied in occupational noise research; however, the scope and focus of these approaches have not been systematically mapped. This review aims to provide an overview of how AI has been used in occupational noise assessment and noise‑related health outcomes. Articl…
gain_title: (none)
problem_title: AI was primarily applied for health outcome prediction and risk stratification, whereas comparatively limited attention was directed toward preventive applications such as exposure monitoring and noise control.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: AI was primarily applied for health outcome prediction and risk stratification, whereas comparatively limited attention was directed toward preventive applications such as exposure monitoring and noise control.
problem_evidence: (none)
quick_read: Occupational noise remains one of the most prevalent workplace hazards worldwide and is associated with a wide range of adverse health effects, particularly noise‑induced hearing loss (NIHL). Recently, artificial intelligence (AI) has been increasingly applied in occupational noise research; however, the scope and focus of these approaches have not been systematically mapped.

This review aims to provide an overview of how AI has been used in occupational noise assessment and noise‑related health outcomes. Eligible studies were charted and synthesized descriptively, with AI applications categorized according to their primary research objectives.
limitation: 
tag: Evidence-backed problem
key_points: Occupational noise remains one of the most prevalent workplace hazards worldwide and is associated with a wide range of adverse health effects, particularly noise‑induced hearing loss (NIHL). | Recently, artificial intelligence (AI) has been increasingly applied in occupational noise research; however, the scope and focus of these approaches have not been systematically mapped. | This review aims to provide an overview of how AI has been used in occupational noise assessment and noise‑related health outcomes.
rundown: Occupational noise remains one of the most prevalent workplace hazards worldwide and is associated with a wide range of adverse health effects, particularly noise‑induced hearing loss (NIHL). Recently, artificial intelligence (AI) has been increasingly applied in occupational noise research; however, the scope and focus of these approaches have not been systematically mapped.

This review aims to provide an overview of how AI has been used in occupational noise assessment and noise‑related health outcomes. Articles were identified through systematic database searching and screened using predefined inclusion criteria.
sources:
- peer_reviewed | International Journal of Environmental Health Research | https://doi.org/10.1080/09603123.2026.2733122 | 2026-09-21
prev: 0000000000000000000000000000000000000000000000000000000000000000

sha256

4f38336b1463455965ada1ef382000ba81a88083cf27914280340104dcaef08e

previous

0000000000000000000000000000000000000000000000000000000000000000