Toward Responsible Artificial Intelligence in Medicine: Reflections From the Australian Epilepsy Project
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Elsevier BV
Abstract
Artificial intelligence (AI) is a multidisciplinary scientific field that uses machines to solve real-world problems and predict outcomes. Despite the current enthusiasm about AI's potential as a clinical support tool, there is also a growing awareness and concern about the potentially harmful effects of AI. Because AI will likely impact expert-based decision-making in medicine, it is critical to consider the issues that AI raises in medical research. This paper outlines the AI guidelines of the Australian Epilepsy Project. This large-scale platform aims to democratise specialist care in epilepsy and use AI for clinical decision support based on prospective multimodal datasets (MRI, genetic, clinical, and cognitive data) from thousands of people with epilepsy. As AI develops rapidly, we focus on key areas of medical AI identified in the literature, including Trust, Responsibility and Safety. We believe AI is changing medicine, and we believe it is imperative to advance and update our AI guidelines adaptably while preparing for an era of augmented-intelligence-based medicine.Description
Keywords
AEP, AI, Artificial Intelligence, Australian Epilepsy Project, Epilepsy, Ethics, Australian Epilepsy Project Investigators, 46 Information and Computing Sciences, 4602 Artificial Intelligence, Neurosciences, Brain Disorders, Machine Learning and Artificial Intelligence, Bioengineering, Patient Safety, Networking and Information Technology R&D (NITRD), Neurodegenerative, Epilepsy, Generic health relevance, Neurological, Mental health, 3 Good Health and Well Being, 08 Information and Computing Sciences, 09 Engineering, Medical Informatics, 32 Biomedical and clinical sciences, 42 Health sciences, 46 Information and computing sciences
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Artificial Intelligence in Medicine, ISSN: 0933-3657 (Print); 1873-2860 (Online), Elsevier BV, 167, 103192-. doi: 10.1016/j.artmed.2025.103192
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© 2025 The Author(s). Published by Elsevier B.V. Note: This article is available under the Creative Commons CC-BY-NC license and permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.