Volume 1, Issue 4

Artificial intelligence (AI) tools show great potential in knowledge innovation and dissemination. However, the application of AI tools has also exposed many ethical and compliance issues, including academic integrity risk, data privacy and security risks, lack of accuracy of the content, the definition of ethical responsibility and the fuzziness of academic norms. This paper discusses in detail the advantages and disadvantages of the application of AI tools in medical research and medical paper writing, as well as the reasons. The paper also gives some concrete solutions to the problems of data protection, content verification and ethical education. In addition, we focuses on the transformation of medical knowledge innovation and dissemination paradigm in the era of AI, in order to promote the standardized application of AI technology in medical research.

Key Words: medical research; paper writing; artificial intelligence; ethical issues; academic norms

As an emerging technological paradigm, the metaverse is profoundly reshaping the ecology of medical education. Grounded in the context of sports medicine education, this study employs methods such as literature analysis and logical reasoning to examine the current state of metaverse development. From an ecological perspective, it investigates the digital reconstruction process of various elements in sports medicine education driven by the metaverse and explores the integrated cultivation path of virtual and reality. Furthermore, it proposes strategic recommendations for optimizing sports medicine education governance. The study suggests that under the metaverse context, the ecology of sports medicine education presents a new landscape featuring virtual-real symbiosis, science-education collaboration, and cross-border integration. Adhering to the concept of people-oriented and technology-empowered, it is essential to promote morphological reshaping, scenario innovation, and model transformation. This involves creating an immersive and interactive learning experience, building an open and shared knowledge network, and improving the collaborative innovation mechanism for talent cultivation. By promoting deep integration of theory and practice, teaching and research, and schools and hospitals, a high-quality sports medicine talent training system with international competitiveness can be established, injecting new momentum into the integrated development of sports and medicine.

Key Words: metaverse; sports medicine education; ecosystem; digital reconstruction; governance optimization

This study presents an intelligent system for patient education based on large language model (LLMs) and multi agent collaboration, achieving end-to-end process management through five specialized agents (Ask Agent, Assessment Agen, Advice Agent, Arrangement Agent, and Assistance Agent). The system not only improves treatment efficiency, but also provides more precise personalized treatment plans for complex cases, demonstrating significant value in enhancing patient education quality.

Key Words:  large language model; multi-agent system; artificial intelligence; patient education

With the rapid development of information technology, the Metaverse, as an emerging concept of virtual worlds, is gradually showing immense potential in medical education and clinical training. Particularly in the clinical reasoning training of resident physicians, traditional training models face numerous challenges, such as limited clinical resources, complex cases, and restrictions on training time and venues. Metaverse technologies has opened new pathways for resident physician training. This study explores how to leverage metaverse-related technologies, such as virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), to build an immersive and interactive clinical reasoning training platform. By simulating various complex clinical scenarios, resident physicians can engage in repeated training in a risk-free environment, enhancing their flexibility in clinical thinking and their ability to respond effectively. The metaverse platform offers real-time feedback and intelligent analysis to help esident physicians  quickly adjust learning strategies and optimize diagnostic and treatment thinking, and provides more practical opportunities for them.

Key Words: resident training; metaverse; cognitive training

The interventional treatment of chronic total occlusion (CTO) in coronary arteries is a highly complex procedure that demands exceptional expertise, advanced technical skills and sophisticated intraoperative decision-making from operators. Traditional teaching methods, however, encounter significant limitations when it comes to training for such intricate interventions. As an emerging paradigm, metaverse—which integrates virtual reality (VR), augmented reality (AR) and artificial intelligence (AI)—provides an immersive and interactive platform for advancing CTO interventional training. This article explores the latest research advancements and discusses the future potential of metaverse in enhancing the education and training of CTO interventions.

Key Words: metaverse; chronic total occlusion; interventional treatment; teaching

Objective This study aims to explore the prevalence of AI platform usage among student groups. Methods　Sixty undergraduate students enrolled in the general elective course "Metaverse and Future Medicine" at Fudan University were divided into 10 groups, each consisting of 6 members. After class, a questionnaire was administered to collect feedback on the logos generated by the groups. Results　A total of 45 valid questionnaires were received. Among them, 8 groups of students used AI platforms to design logos. The keywords focused on "metaverse," "medicine," and "logo." The most popular logos were from Group 4, Group 7, and Group 3. Among the 29 students who filled out their MBTI types, there were 4 INFPs and 5 INTJs among those who used the AI platform, while the non-AI users included 3 ENFPs and 2 INTJs. Conclusion  The application of AI platforms in student learning and creation is increasingly common, though challenges remain. Future teaching could consider enhancing training on AI tools to improve students' usage skills and creative outcomes.

Key Words：metaverse; artificial intelligence; education

With the rapid development of biomedical engineering technology, assisted rehabilitation exoskeleton robots have emerged as a research hotspot in the field of rehabilitation medicine. We summarize the current research status and scientific progress of assisted rehabilitation exoskeleton robots both domestically and internationally, covering aspects such as design concepts, working principles, main types, technical equipment, and clinical applications. Simultaneously, recognizing that there is still a long journey ahead before they reach maturity, and considering the evolving Internet of Things, the emergence of artificial intelligence and metaverse technology, we explore the potential for integrating these technologies with rehabilitation medicine, thereby presenting new opportunities for the advancement of assisted rehabilitation exoskeleton robots.

Key Words：assisted rehabilitation exoskeleton robot; metaverse in medicine; IOT in medicine; research status; research prospects

Metaverse, a virtual reality world and human-computer exchange system created by integrating several digital technologies, is driving innovation and development in the healthcare industry and may bring disruptive shifts in the field of neurorehabilitation. This article reviews the research of virtual reality and brain-computer interface technology in the limb movement rehabilitation of stroke patients, in order to provide ideas for clinical rehabilitation treatment and basic research.

Key Words: metaverse; virtual reality; brain computer interface; stroke

Obstructive sleep apnea (OSA) diagnosis and treatment simulation training system is a kind of training mode and training system, which combines cloud technology and terminal equipment to simulate the actual diagnosis and treatment scene, allow remote experts to teach doctors the diagnosis and treatment of OSA, and to improve the level of OSA diagnosis and treatment. This article lists the points for attention in the simulation training of diagnosis and treatment of OSA in cloud plus terminal, which can be used for reference for clinical practice.

Key Words: obstructive sleep apnea; artificial intelligence; internet of things; metaverse

With the rapid development of Virtual Reality (VR) technology, its widespread applications in entertainment, education, healthcare, and other fields have brought significant innovations and conveniences to society. However, as the technology becomes more prevalent, ethical risks related to physical and mental health have also become increasingly evident, particularly in the context of prolonged use and high-immersion experiences. This paper constructs a multi-dimensional ethical risk framework for VR technology, addressing risks at the personal level (physical and mental health risks), the individual-social interaction level (social indifference and lack of virtual community responsibility), and the societal-institutional level (privacy protection and intellectual property issues). Based on these risks, this paper proposes a systematic approach to ethical governance, including a multi-stakeholder collaborative governance model, ethical awareness enhancement through education and empowerment, and the mutual promotion of technological innovation and ethical constraints. By fostering continuous collaboration among government, tech companies, psychological research institutions, and educational departments, and incorporating user feedback and participation, the paper advocates for the construction of an open, transparent, and inclusive human-centered technological ecosystem. Ultimately, this approach aims to ensure the sustainable development of VR technology while balancing individual and societal well-being.

Key Words: virtual reality; ethical risks; technological governance; personal well-being; collaborative governance

Patient education is of great significance for medical care and public health, but currently faces multiple challenges. These include incomplete educational content, single delivery methods, lack of continuous education, information asymmetry between doctors and patients, communication barriers, low patient compliance, and imperfect evaluation methods. Metaverse can provide virtual reality and augmented reality technologies to offer virtual medical education with features such as virtual reality environments, personalized learning paths, real-time learning interaction and feedback, social interaction and sharing, emotional support and psychological counseling, intelligent monitoring and evaluation, and continuous medical support. This can effectively help patients master medical knowledge, greatly improve the coverage and efficiency of patient education. Therefore, the consensus was developed to promote the empowerment of patient education through metaverse, aiming to achieve the vision of preventing diseases with renowned doctors and benefiting the public with metaverse doctors” as soon as possible.

Keywords: metaverse; medical education