Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 20 min ago
Peer-reviewedLicence not statedWORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY

Developing an AI-Powered Occupational Health Surveillance System for Real-Time Detection and Management of Workplace Health Hazards

  • Cynthia Obianuju Ozobu1
  1. 1Independent Researcher , Lagos , Nigeria
Open at sourcePDFDOICite

Related

  1. Associations of sleep disturbance and emotion regulation with perceived workplace safety and fatigue among male firefighters with prior occupational accidents : A cross-sectional study
    Ahmet Erhan Bakirci
    MedicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  2. Evaluating AI chatbots for providing health advice on occupational sedentary behavior in the workplace
    Jingwei Zhang
    Frontiers in public healthPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMCCrossref
  3. Occupational hazards and workplace safety practices among nurses in Nablus, Palestine: a cross-sectional study.
    Ahmad Eshtaya, Rajaa Shaheen
    BMC nursingPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMCDOAJ
  4. Occupational anxiety, workplace risk attitudes, and clinical learning safety climate among nursing students: a path analysis
    Belkız Kızıltan, Ali Ağar, Soner Berşe
    Scientific ReportsPeer-reviewedCC BY 4.0Full textGeneral medicineCrossrefDOAJ
  5. Human biomonitoring of occupational benzene exposure among petroleum-exposed workers in nigeria and its implications for public health surveillance
    Babatunde Ishola Gabriel Adejumo, David Adedotun Badejo, Fidelis Ohiremen Oyakhire +13
    BMC Public HealthPeer-reviewedCC BY-NC-ND 4.0Epidemiology & public healthCrossref

Cite

BibTeXRIS
BibTeX
@article{ozobu2026developing,
  title = {{Developing an AI-Powered Occupational Health Surveillance System for Real-Time Detection and Management of Workplace Health Hazards}},
  author = {Cynthia Obianuju Ozobu},
  journal = {WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY},
  year = {2026},
  month = sep,
  doi = {10.56201/wjimt.v9.no1.2025.pg156.185},
  url = {https://doi.org/10.56201/wjimt.v9.no1.2025.pg156.185},
}
RIS
TY  - JOUR
TI  - Developing an AI-Powered Occupational Health Surveillance System for Real-Time Detection and Management of Workplace Health Hazards
AU  - Cynthia Obianuju Ozobu
PY  - 2026
DA  - 2026/09/28
JO  - WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY
DO  - 10.56201/wjimt.v9.no1.2025.pg156.185
UR  - https://doi.org/10.56201/wjimt.v9.no1.2025.pg156.185
SN  - 2682-5910
SN  - 2756-5491
ER  -