| Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review O Higgins, BL Short, SK Chalup, RL Wilson International Journal of Mental Health Nursing 32 (4), 966-978, 2023 | 47 | 2023 |
| Artificial intelligence: An eye cast towards the mental health nursing horizon RL Wilson, O Higgins, J Atem, AE Donaldson, FA Gildberg, M Hooper, ... International Journal of Mental Health Nursing 32 (3), 938-944, 2023 | 18 | 2023 |
| Evaluation of a general practitioner‐led cardiometabolic clinic: Physical health profile and treatment outcomes for clients on clozapine D Coates, P Woodford, O Higgins, D Grover International Journal of Mental Health Nursing 27 (1), 303-310, 2018 | 12 | 2018 |
| Commercial determinants and therapeutic chatbots: A mental health nursing perspective O Higgins, RL Wilson International Journal of Mental Health Nursing 32 (6), 1509-1511, 2023 | 2 | 2023 |
| Interpretations of innovation: The intersection of technological advancement and psychosis O Higgins, R Wilson, S Chalup, B Short INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING 31, 24-25, 2022 | 2 | 2022 |
| Artificial Intelligence in nursing: trustworthy or reliable? O Higgins, SK Chalup, RL Wilson Journal of Research in Nursing, 17449871231215696, 2024 | 1 | 2024 |
| Interpretations of innovation: The role of technology in explanation seeking related to psychosis O Higgins, BL Short, SK Chalup, RL Wilson Perspectives in Psychiatric Care 2023 (1), 4464934, 2023 | 1 | 2023 |
| Disproportionate mental health presentations to emergency departments in a coastal regional community in Australia of first nation people O Higgins, RB Sheather‐Reid, SK Chalup, RL Wilson International Journal of Mental Health Nursing, 2024 | | 2024 |
| The continued importance of mental health nurses engaging with social media and related emerging technologies. RL Wilson, O Higgins International Journal of Mental Health Nursing 32 (2), 2023 | | 2023 |
| The Impact of Dental Disease on a sample of Aboriginal adults living in the Central Coast Region of New South L Mullen, O Higgins, B Redmayne, L Keegan, A Blinkhorn, F Blinkhorn Social Science and Dentistry 2 (2), 73-79, 2013 | | 2013 |
| Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations O Higgins, SK Chalup, RL Wilson International journal of mental health nursing, 0 | | |
Professor Rhonda L. Wilson, RN PhDProfessor RMIT UniversityVerified email at rmit.edu.au