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Published on in Vol 9, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39556, first published .
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The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial

The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial

Journals

  1. Lagera P, Chan S, Yellowlees P. Asynchronous Technologies in Mental Health Care and Education. Current Treatment Options in Psychiatry 2023;10(2):59 View
  2. Mese I, Taslicay C, Sivrioglu A. Improving radiology workflow using ChatGPT and artificial intelligence. Clinical Imaging 2023;103:109993 View
  3. Wang Z, Wang Z, Deng R. Assessment Scale and Behavioral Model Construction for AI Chat Information Retrieval and Processing Service Systems Based on Behavioral Reasoning Theory—Taking ChatGPT-Like Tools as an Example. International Journal of Human–Computer Interaction 2025;41(5):3031 View
  4. Hershenhouse J, Gill K, Nabhani J. The advance of artificial intelligence in outpatient urology: current applications and future directions. Current Opinion in Urology 2025;35(3):214 View
  5. David N. The Future of Translation and Interpretation: Integrating AI with Human Expertise for Optimal Results. International Journal of Applied Linguistics and Translation 2025;11(2):53 View
  6. Choudhary S, Nelson B, Jones N, Mehta U, Torous J. Telehealth and Pharmacotherapy: The Role of Synchronous and Novel Asynchronous Digital Health Tools in Psychiatry. Pharmaceutical Medicine 2025;39(6):413 View
  7. Karakus I, Strechen I, Gupta A, Nalaie K, Chen C, Hassett L, Barwise A. Bridging language gaps in healthcare: a systematic review of the practical implementation of neural machine translation technologies in clinical settings. Journal of the American Medical Informatics Association 2025;32(11):1756 View
  8. Amalakanti S, Avula V, Jillella J. Advances, opportunities, and challenges of using modern artificial general intelligence and artificial intelligence-generated content technologies in depression and related disorders – Systematic review. Archives of Mental Health 2025;26(2):119 View
  9. Huang A, Geracitano J, Coffel M, Seashore C, Khairat S. How limited english proficiency impacts patient engagement with telemedicine: a systematic review. npj Digital Medicine 2025;8(1) View
  10. Karakus I, Gupta S, Gur R, Bracamonte Aranibar M, Elgazar A, Gad H, Hao X, Morales Salas F, Kilickaya S, Niven A, Kilickaya O, Barwise A. AI-TransLATE: Validation of a Speech-Based Multilingual Interpretation Tool in Critical Care. Applied Clinical Informatics 2025;16(05):1917 View
  11. Milo R, Etland C, Martinez N, Scott S, De Leon C, Calero P, Nibbelink C, Georges J, Connelly C. Patient-Engaged AI: The Nursing Path to Health Equity. Sage Open Nursing 2026;12 View
  12. Shahrir S, Skillman S, Frogner B. Implications of Artificial Intelligence for Administrative and Management Roles Among Allied Health Occupations. Journal of Ambulatory Care Management 2026 View

Books/Policy Documents

  1. Mucić D, Hilty D, Yellowlees P. Digital Mental Health. View
  2. Alam M, Gounder K, Kumar M. Exploring AI Implications on Law, Governance, and Industry. View
  3. Abas I, Rasli A, Alipour M, Mustafa F. Bridging Theory and Practice in Translation. View
  4. Abas I, Sidgi L, Rasli A, Niyomrit V. Enhancing Quality in Conference Interpreting. View