Guest Editors
Prof. Neil Vaughan
Email: n.vaughan@exeter.ac.uk
Affiliation: Department of Clinical and Biomedical Sciences (CBS), University of Exeter, Exeter, CH2 5DW, United Kingdom
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Research Interests: AI, virtual reality (VR), 3D medical computer graphics, smartphone apps and devices for healthcare
Summary
This Special Issue on Artificial Intelligence (AI) and Machine Learning (ML) in Healthcare Technologies explores the transformative role of intelligent systems in modern healthcare. As digital health solutions evolve, AI and ML have emerged as pivotal tools for enhancing diagnostic accuracy, treatment personalization, operational efficiency, and predictive analytics. The introduction emphasizes the growing importance of these technologies in addressing global healthcare challenges, including aging populations, chronic disease management, and limited clinical resources.
The aim of this Special Issue is to showcase cutting-edge research, innovative applications, and theoretical advancements at the intersection of AI, ML, and healthcare. It seeks to foster interdisciplinary collaboration and present novel insights that support the development of intelligent, patient-centered healthcare systems. The scope encompasses both methodological innovations and real-world implementations, covering diverse healthcare environments.
Suggested themes include, but are not limited to: AI-driven diagnostics and imaging, predictive modeling for patient outcomes, ML applications in personalised medicine, natural language processing (NLP) in clinical documentation, wearable and remote monitoring technologies, ethical and regulatory considerations in AI deployment, and the integration of AI into electronic health records (EHRs), Ethical, responsible and explainable AI in healthcare, Regulatory frameworks or clinical adoption of AI healthcare.
By collecting high-quality contributions, this Special Issue aims to advance the understanding and responsible adoption of AI and ML in improving healthcare delivery and outcomes.
Keywords
artificial intelligence (AI), machine learning, healthcare applications, virtual reality (VR), medical graphics, smartphone apps, health technology, wearable devices
Published Papers
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