TRV-2026-1162Certified recordPeer-reviewed

Applications of artificial intelligence in occupational noise assessment and noise‑related health outcomes: a scoping review

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…

Science · Problem Space — documented harm · certified 2026-09-22 · v1 · article view · machine-readable

Current reading — problem

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.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1162, v1: “Applications of artificial intelligence in occupational noise assessment and noise‑related health outcomes: a scoping review.” Truvace, 2026-09-22. /record/TRV-2026-1162 (accessed at citation time). sha256 4f38336b14634559…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv14f38336b1463…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-1162 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.