Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Expert consensus on the metaverse in medicine
234
Zitationen
22
Autoren
2022
Jahr
Abstract
Recently, Professor Chunxue Bai and colleagues have proposed a definition of the Metaverse in Medicine as the medical Internet of Things (MIoT) facilitated using AR and/or VR glasses. A multi-disciplinary panel of doctors and IT experts from Asia, the United States, and Europe analyzed published articles regarding expert consensus on the Medical Internet of Things, with reference to study results in the field of metaverse technology. It is feasible to implement the three basic functions of the MIoT, namely, comprehensive perception, reliable transmission, and intelligent processing, by applying a metaverse platform, which is composed of AR and VR glasses and the MIoT system, and integrated with the technologies of holographic construction, holographic emulation, virtuality-reality integration, and virtuality-reality interconnection. In other words, through interactions between virtual and real cloud experts and terminal doctors, we will be able to carry out medical education, science popularization, consultation, graded diagnosis and treatment, clinical research, and even comprehensive healthcare in the metaverse. The interaction between virtual and real cloud experts and terminal users (including terminal doctors, patients, and even their family members) could also facilitate different medical services, such as disease prevention, healthcare, physical examination, diagnosis and treatment of diseases, rehabilitation, management of chronic diseases, in-home care, first aid, outpatient attendance, consultation, etc. In addition, it is noteworthy that security is a prerequisite for the Metaverse in Medicine, and a reliable security system is the foundation to ensure the normal operation of such a platform. The application of a Cloud Plus Terminal platform could enable interaction between virtual and real cloud experts and terminal doctors, in order to realize medical education, science popularization, consultation, graded diagnosis and treatment, clinical research, and even comprehensive healthcare in the metaverse.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.200 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.
Autoren
Institutionen
- Fudan University(CN)
- Zhongshan Hospital(CN)
- Science and Technology Commission of Shanghai Municipality(CN)
- Southern University of Science and Technology(CN)
- Sun Yat-sen University(CN)
- The First Affiliated Hospital, Sun Yat-sen University(CN)
- Henan Provincial People's Hospital(CN)
- Second Affiliated Hospital of Dalian Medical University(CN)
- Dalian Medical University(CN)
- Second Affiliated Hospital of Zhejiang University(CN)
- State Key Laboratory of Respiratory Disease(CN)
- First Affiliated Hospital of Guangzhou Medical University(CN)
- Guangzhou Medical University(CN)
- Shanghai Jiao Tong University(CN)
- Shanghai Chest Hospital(CN)
- Affiliated Zhongshan Hospital of Dalian University(CN)
- Army Medical University(CN)
- Xinqiao Hospital(CN)
- Zhejiang University(CN)
- Nanjing Medical University(CN)
- Wuxi No.2 People's Hospital(CN)
- Icahn School of Medicine at Mount Sinai(US)
- Helios Park-Klinikum Leipzig(DE)
- Leiden University Medical Center(NL)
- University of Pittsburgh(US)
- Children's Hospital of Pittsburgh(US)
- Unitec Institute of Technology(NZ)