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
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Healthcare".
Deadline for manuscript submissions: 1 September 2026 | Viewed by 252
Special Issue Editors
Interests: human-centered AI; user-adaptive systems; persuasive technologies; dynamic user modeling; intervention design; digital health
Special Issue Information
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- virtual reality
- augmented reality
- machine learning
- clinical applications
- clinical decision-making
- diagnosis
- doctor–patient interaction
- interventions
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