Shaikh, TA and Dar, TR and Sofi, S (2022) A data-centric artificial intelligent and extended reality technology in smart healthcare systems. In: Social Network Analysis and Mining, 12 (1). pp. 1-33.
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Abstract
Extended reality (XR) solutions are quietly maturing, and their novel use cases are already being investigated, particularly in the healthcare industry. By 2022, the extended reality market is anticipated to be worth 209 billion. Certain diseases, such as Alzheimer's, Schizophrenia, Stroke rehabilitation stimulating specific areas of the patient's brain, healing brain injuries, surgeon training, realistic 3D visualization, touch-free interfaces, and teaching social skills to children with autism, have shown promising results with XR-assisted treatments. Similar effects have been used in video game therapies like Akili Interactive's EndeavorRx, which has previously been approved by the Food and Drug Administration (FDA) as a treatment regimen for children with attention deficit hyperactivity disorder (ADHD). However, while these improvements have received positive feedback, the field of XR-assisted patient treatment is in its infancy. The growth of XR in the healthcare sphere has the potential to transform the delivery of medical services. Imagine an elderly patient in a remote setting having a consultation with a world-renowned expert without ever having to leave their house. Rather than operating on cadavers in a medical facility, a surgical resident does surgery in a virtual setting at home. On the first try, a nurse uses a vein finder to implant an IV. Through cognitive treatment in a virtual world, a war veteran recovers from post-traumatic stress disorder (PTSD). The paper discusses the potential impact of XR in transforming the healthcare industry, as well as its use cases, challenges, XR tools and techniques for intelligent health care, recent developments of XR in intelligent healthcare services, and the potential benefits and future aspects of XR techniques in the medical domain. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.
| Item Type: | Journal Article |
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| Publication: | Social Network Analysis and Mining |
| Publisher: | Springer |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Keywords: | Medical informatics; Patient rehabilitation; Pattern recognition; Surgery; Three dimensional computer graphics; Virtual reality, Alzheimer; Artificial intelligent; Data centric; Extended reality; Health care informatics; Healthcare industry; Smart health care; Smart healthcare systems; Specific areas; Stroke rehabilitation, Diseases |
| Department/Centre: | Division of Interdisciplinary Sciences > Interdisciplinary Centre for Water Research |
| Date Deposited: | 03 Oct 2022 05:43 |
| Last Modified: | 03 Oct 2022 05:43 |
| URI: | https://eprints.iisc.ac.in/id/eprint/77009 |
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