The medical metaverse is a combination of medicine and other cutting-edge technologies such as computer and information ones. In the medical metaverse, medical knowledge in the real world will be transformed into a digital form, so that activities concerning diagnosis, treatment, education and clinical practice can be carried out in a virtual environment. Based on the latest research advances at home and abroad, this review expounds on the medical metaverse from the aspects of supporting technologies, applications in clinic and medical education, current deficiencies and future development.

  Objective  To analyze the current status of the development of adaptation guidelines in China, as well as their methodological quality and the reporting quality, in order to provide reference for the development of adaptation guidelines.  Methods  We searched and collected adaptation guidelines led by Chinese researchers or institutions from 2015 to 2023 from four electronic databases, China National Knowledge Infrastructure, WanFang Data Knowledge Service Platform, SinoMed and PubMed, extracted the basic information of the adapted guidelines, and assessed their methodological quality and reporting quality using the Appraisal of Guidelines for REsearch and Evaluation (AGREE) Ⅱ and RIGHT-Ad@pt tools.  Results  A total of 14 adaptation guidelines were included, mainly focusing on nursing (42.9%, 6/14), with the most frequently used adaptation method of ADAPTE (71.4%, 10/14), and with reference to pre-existing guidelines mainly from the United States, the United Kingdom, and international organizations. Assessment by the AGREE Ⅱ tool showed that the average methodological quality score of the adapted guidelines was 36.6%. The scores were relatively high in the domains of clarity of expression and rigor of formulation (44.4% and 54.9%), and lowest in the domain of applicability (15.3%). The results of the RIGHT-Ad@pt tool showed that the reporting quality of the adaptation guidelines was relatively good, with the highest reporting rate of 91.2% and the lowest of 35.3%, and the reporting rates of seven articles were higher than 70%.  Conclusions  Adaptation guidelines in China are still in their infancy, with a relatively small number and mainly focusing on the nursing field. The most commonly used adaptation method is the ADAPTE method. The methodological quality and reporting quality of adaptation guidelines need to be further improved, and more research should be conducted on the specific conditions and timing of adaptation guidelines development.

Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

Orthopaedic surgery is complex and delicate. The Orthopaedic Navigation System is developed to provide an augmented reality three-dimensional (3D) visualization environment to improve treatment outcomes by analyzing preoperative, intraoperative and postoperative data. With the rapid development and clinical application of digital technology, artificial intelligence technology has been introduced into orthopaedic intraoperative navigation system. Artificial intelligence, combined with instrumentation devices and imaging technology, enhances the visualization capabilities of orthopaedic surgeons, allowing them to receive real-time feedback and guidance during surgery, which in turn provides optimal clinical decision-making. The application of artificial intelligence to intraoperative orthopaedic navigation also improves the repeatability of procedures and reduces the incidence of human error. This paper reviews the current status of the application of artificial intelligence in orthopaedic intraoperative navigation, and introduces the basic concepts of artificial and the development of image alignment, real-time tracking, and 3D visualization techniques based on artificial intelligence, as well as discusses the current limitations and shortcomings.

In recent years, artificial intelligence-related technologies have been deeply combined with many medical fields, and the intersection of medicine and engineering has become a hot topic. There are problems with heavy data and difficulty making decisions in orthopedic disease diagnosis and treatment. Machine learning is an important method of artificial intelligence. Since it can automatically analyze and predict medical big data, it is widely used in the field of orthopedics. It also assists physicians in completing disease diagnosis and treatment efficiently. In this review paper, the application and progress of machine learning in preoperative, intraoperative, and postoperative diagnosis and treatment in orthopedics are reviewed, providing new ways for exploring more rational diagnosis and treatment strategies.

Artificial Intelligence (AI) is an interdisciplinary subject developed on the basis of computer technology, cybernetics, mathematics, philosophy and brain science. The purpose of AI is to study new ways to extend the intelligence of human brain in various fields. In recent years, the rapid development of AI technology has brought innovation to medical science and health care. During the pandemic of coronavirus disease 2019 (COVID-19) AI has been widely used in epidemiological investigation and outbreak prediction, clinical diagnosis and treatment, hospital management, research and development of new drugs and vaccines. The application of AI has reduced the clinical workload and the consumption of medical resources, greatly assisted the battle against COVID-19.This article introduces the progresses on the applications of AI technology to provide information for its further application in the fighting against COVID-19.

With the development of virtual reality, augmented reality, and mixed reality technology, their application in medical education has become increasingly widespread. With the advantages of virtuality-reality combination, real-time interaction and exact registration, mixed reality technology is expected to improve the drawbacks of traditional medical education, and exerts great potential in virtual classroom, virtual laboratory, anatomy teaching, medical operation training, surgery simulation, and telemedicine education. This article mainly introduces the applications of mixed reality technology in medical education in recent years, and hopes to provide a reference for the integration of mixed reality technology into the field of education.

Multiple injuries caused by trauma have high rates of disability and mortality and are difficult to treat, which have a negative impact on the patients, their families and the society. At present, the medical model of trauma treatment is still inadequate, and the treatment of trauma patients faces great challenges. Artificial intelligence (AI) is an intelligent technology based on machine learning, reinforcement learning and deep learning algorithm, and it has been applied to the treatment of patients with trauma. Its efficient and accurate computer vision, planning and decision-making, and big data statistical analysis not only improve the safety and efficiency in the treatment of trauma, but also reduce the workload of clinicians, which makes up for the deficiency of the traditional model of trauma care. After screening the recent studies of AI in trauma care, the authors review its application in emergency triage, diagnosis, treatment and prevention of war trauma, in order to introduce the latest research progress of AI in trauma care and provide references for future developments.

Mixed Reality (MR) is a new digital holographic imaging technology after Virtual Reality (VR) and Augmented Reality (AR). The recent rapid advances in medical MR have brought a new mode of clinical diagnosis and treatment for medical workers. In dealing with complex and changeable situations of injury in trauma orthopaedics, MR provides a new means of diagnosis and treatment for clinicians because it breaks the boundary between a digital world and a real world to present a new individualized and three-dimensional visualization. This paper intends to discuss the application value and prospect of MR in traumatic orthopaedics.

Objective:To investigate the efficacy of internal fixation of Pipkin types I and II femoral head fractures through the modified Smith-Petersen (S-P) approach.Methods:A retrospective case control study was conducted to analyze the clinical data of 33 patients with Pipkin types I and II femoral head fractures admitted to Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology from June 2015 to September 2019. There were 22 males and 11 females, aged 20-40 years (mean, 29.5 years). There were 15 patients with Pipkin type I fractures and 18 with Pipkin type II fractures. A total of 22 patients were treated using the modified S-P approach via the sartorius and tensor fascia lata space (modified S-P group) and 11 patients were treated using the modified K-L approach via the posterior superior iliac spine and gluteus maximus (modified K-L group). The operation duration, intraoperative blood loss, postoperative drainage volume, length of hospital stay, numeric rating scales (NRS) for pain assessment at postoperative 15 days, bone healing time, Harris hip joint score at postoperative one month, and complication rate were compared between the two groups.Results:All patients were followed up for 1-24 months (mean, 6.5 months). The operation duration, blood loss, drainage rate and length of hospital stay in modified S-P group were better than those in modified K-L group [(71.7±7.3)minutes vs. (112.1±6.7)minutes, (55.9±6.2)ml vs. (99.4±8.7)ml, (91.2±5.9)ml vs. (121.3±7.0)ml, (6.0±1.5)days vs. (10.5±1.6)days] ( P<0.01). There were no significant differences between two groups in terms of NRS, bone healing time and Harris score ( P>0.05). The incidence of complications was similar between the two groups, including femoral head ischemia necrosis, traumatic arthritis, and heterogenous ossification ( P>0.05). Conclusion:For Pipkin types I and II femoral head fractures, the modified modified S-P approach is superior to modified K-L approach in aspects of operative time, intraoperative blood loss, postoperative drainage and length of hospital stay.