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Corresponding Author ORCID Identifer

Sellappan Palaniappan https://orcid.org/0009-0009-1168-2864

Section

(Thematic) AI in Health and Wellness

Abstract

AI is changing our understanding of health and health-care systems in ways that go beyond the traditional one-click-fits-all approach to care. It is also making care more personalised than ever before, with delivery occurring on an ongoing basis and at all times. The six papers in this special issue of the Journal of Informatics and Web Engineering will give you a clear view of where we are headed. They examine several different areas, including: monitoring chronic illness through wearable technology; using deep learning techniques for contactless heart monitoring via rPPG; developing new cancer risk models; identifying neuroplasticity therapeutic pathways using multi-agent systems; generating synthetic health data; and developing new tri-domain frameworks to examine the interrelationships among the heart, brain, and body. Each of these papers addresses some aspect of a true issue, such as lack of data, limited access, and clinical challenges that traditional methods cannot solve. Collectively, the studies presented in this issue do not just point toward new revolutionary computing; they also provide insight into the future of the health care system. A more intelligent health care system that can adapt to its environment; respond to its client, and ground itself in both ethical and clinical realities. This editorial will outline the common themes that are found throughout the contributions in this special issue. The editorial is an integrative perspective across multiple fields including real-time physiological sensing, explainability and trust, data scarcity solutions, and holistic AI wellness model development.

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