Integration of Artificial Intelligence (AI), Virtual/Augmented Reality (VR/AR) and Machine Learning (ML) in Clinical Practice: Patient Care, Clinician–Patient Interaction, and Clinical Decision-Making

Dear Colleagues,

The potential of Artificial Intelligence (AI), Virtual Reality/Augmented Reality (VR/AR), and Machine Learning (ML) technologies to transform clinical practice cannot be over-emphasized. These technologies provide useful tools for diagnostic support, prediction analytics, and individualized treatment planning, enabling clinicians to make more informed and timely decisions. For example, VR/AR provides comprehensive solutions to medical education, rehabilitation therapy, and patient contact, thereby enhancing communication between patients and clinicians. All of these technologies have been effective in real-world settings, but their implementation in clinical practice has remained controversial to date. Given the limited clinical evidence of potential for VR/AR, AI, and ML to enhance patient care, rehabilitation, and doctor–patient relationships, this Special Issue seeks to gather innovative contributions from the research community.

This Special Issue invites original research, systematic reviews, and case studies on the integration of AI, VR/AR, and ML in clinical environments. Topics can range from physician support systems, patient-centered applications, education in medicine, and clinical decision-making to the ethical considerations involved in introducing these technologies. Overall, the proposed Special Issue aims to bring together interdisciplinary perspectives to highlight innovations that can transform the provision of healthcare, improve patient outcomes, and empower medical professionals in practice.

Dr. Oladapo Oyebode
Guest Editor

Dr. Grace Ataguba
Guest Editor Assistant

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