Accessibility settings

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45434, first published .
Man with pill bottles and smartphone

An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

Journals

  1. Al-hammuri K, Gebali F, Kanan A. ZTCloudGuard: Zero Trust Context-Aware Access Management Framework to Avoid Medical Errors in the Era of Generative AI and Cloud-Based Health Information Ecosystems. AI 2024;5(3):1111 View
  2. Gabriel R, Park B, Hsu C, Macias A. A Review of Leveraging Artificial Intelligence to Predict Persistent Postoperative Opioid Use and Opioid Use Disorder and its Ethical Considerations. Current Pain and Headache Reports 2025;29(1) View
  3. El-Helaly M. Artificial Intelligence and Occupational Health and Safety, Benefits and Drawbacks. La Medicina del Lavoro 2024;115(2):e2024014 View
  4. El-Helaly M, El-Sayed Awaad A, Elhelaly A. Artificial intelligence and mental health in the workplace: positive and negative impacts. Archives of Environmental & Occupational Health 2026;81(3-4):57 View

Books/Policy Documents

  1. Rissanen A, Rissanen M. Health Information Science. View
  2. Akiş A. AI-Driven Insights Into the Depths of Psychopathologies. View

Conference Proceedings

  1. Singgih M, Noufridhan Arzhanie A, Yasnita F, Budianto F. 2025 Innovations in Power and Advanced Computing Technologies (i-PACT). The Impact of AI on Worker Productivity: A Systematic Literature Review View