Publications by authors named "Zhe-wei Ye"

The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the method of information interaction about doctor-patient communication, medical education and research through the integration of medical data, knowledge and services in a virtual environment. Artificial intelligence (AI) is a discipline that uses computer technology to study and develop human intelligence.

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Artificial intelligence (AI) is an interdisciplinary field that combines computer technology, mathematics, and several other fields. Recently, with the rapid development of machine learning (ML) and deep learning (DL), significant progress has been made in the field of AI. As one of the fastest-growing branches, DL can effectively extract features from big data and optimize the performance of various tasks.

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Objective: To evaluate the accuracy and parsing ability of GPT 4.0 for Japanese medical practitioner qualification examinations in a multidimensional way to investigate its response accuracy and comprehensiveness to medical knowledge.

Methods: We evaluated the performance of the GPT 4.

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Article Synopsis
  • This study compared the effectiveness of optimized vs. unoptimized large language models (LLMs) in answering orthopedic questions using a specialized knowledge base.
  • A knowledge base was created using clinical guidelines and authoritative publications, and 30 orthopedic questions were posed to both types of LLMs, with responses evaluated by experienced orthopedic surgeons.
  • Results indicated that optimization led to significant improvements across all models in quality, accuracy, and comprehensiveness, suggesting that tailored knowledge bases can enhance LLM performance in specialized fields.
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  • The brain-computer interface (BCI) system connects external devices to the human brain and reflects mental states through EEG signals, which can often be contaminated by various artifacts.
  • The complexity of unprocessed EEG data makes analysis and cleanup difficult, posing challenges for accurate readings.
  • Recent advancements in artificial intelligence (AI) and machine learning have significantly improved the processing of EEG signals, allowing for better understanding of patients' health and potentially enhancing their quality of life.
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Objective: To explore a new artificial intelligence (AI)-aided method to assist the clinical diagnosis of tibial plateau fractures (TPFs) and further measure its validity and feasibility.

Methods: A total of 542 X-rays of TPFs were collected as a reference database. An AI algorithm (RetinaNet) was trained to analyze and detect TPF on the X-rays.

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Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" era, a series of cutting-edge technologies has brought new experiences to the management of chronic diseases. Among them, smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state.

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The application of artificial intelligence (AI) technology in the medical field has experienced a long history of development. In turn, some long-standing points and challenges in the medical field have also prompted diverse research teams to continue to explore AI in depth. With the development of advanced technologies such as the Internet of Things (IoT), cloud computing, big data, and 5G mobile networks, AI technology has been more widely adopted in the medical field.

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As modern science and technology constantly progresses, the fields of artificial intelligence, mixed reality technology, remote technology, etc. have rapidly developed. Meanwhile, these technologies have been gradually applied to the medical field, leading to the development of intelligent medicine.

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Article Synopsis
  • AI is a discipline focused on using computer technology to mimic and enhance human intelligence, impacting various fields including medicine.
  • In healthcare, AI has improved diagnostics and treatments, resulting in increased accuracy and reduced workload for medical professionals.
  • The review aims to highlight AI's current applications in medicine and explore future trends in areas like drug production, medical management, and education.
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The occurrence of major emergencies often leads to environmental damage, property damage, health challenges and life threats. Despite the tremendous progress we have made in responding to the many challenges posed by disasters in recent years, there are still many shortcomings. As an emerging technology widely used in recent years, virtual reality (VR) technology is very suitable for many fields of disaster medicine, such as basic education, professional training, psychotherapy, etc.

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Mixed reality (MR) technology is a new digital holographic image technology, which appears in the field of graphics after virtual reality (VR) and augmented reality (AR) technology, a new interdisciplinary frontier. As a new generation of technology, MR has attracted great attention of clinicians in recent years. The emergence of MR will bring about revolutionary changes in medical education training, medical research, medical communication, and clinical treatment.

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Traumatic gas gangrene is a fatal infection mainly caused by Clostridium perfringens. It is a challenge to manage gas gangrene in open wounds and control infection after debridement or amputation. The aim of the present study was to use vacuum sealing drainage (VSD) with continuous irrigation of potassium permanganate to manage infective wounds of gas gangrene and observe its clinical efficacy.

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Background: This study aimed to retrospectively examine 36 cases of bilateral cervical facet dislocations (BCFD) of the lower cervical spine who were at risk for respiratory deterioration.

Methods: The cases of 36 subjects with BCFD of the lower cervical spine who failed to achieve closed reduction were retrospectively studied. The extents of neurological injuries included posterior neck pain without neurological deficit (n=2), incomplete spinal cord injury (ISCI) (n=21), and complete spinal cord injury (CSCI) (n=13).

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Objective: To investigate the indication, perioperative announcements, selection of prosthesis and clinical results of shoulder hemiarthroplasty for the treatment of complex proximal humeral fractures.

Methods: A total of 55 patients who suffered from complex proximal humeral fractures were treated by shoulder hemiarthroplasty. The mean age was 55.

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Objective: To investigate the effect of particulate cancellous bone impaction grafting in combination with total hip arthroplasty (THA) for acetabular reconstruction in patients with posttraumatic arthritis and bone loss after acetabular fractures.

Methods: Totally 15 consecutive cases with unilateral acetabular fracture were treated with bone impaction grafting in combination with THA in our department. There were 10 males and 5 females with mean age of 48.

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Objective: To explore a method to isolate and purify the subtype of type A spermatogonial stem cells (SSCs).

Methods: We isolated spermatogonia by discontinuous density gradient centrifugation, sorted c-kit-expressed cells with the fluorescence-activated cell sorter (FACS), observed their ultrastructure by electron microscope, and performed immunohistochemistry to determine the expression of c-kit in the testis.

Results: The c-kit positive cells constituted (18.

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Objective: To evaluate the effects and mechanism of radiation-sterilized allogeneic bone sheets in inducing vertebral plate regeneration after laminectomy in sheep.

Methods: Twelve adult male sheep (aged 1.5 years and weighing 27 kg on average) provided by China Institute for Radiation Protection underwent L3-4 and L4-5 laminectomy.

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Objectives: To study the inhibitory effects of mouse telomerase RNA (mTR) antisense oligodeoxynucleotide(ASODN) on telomerase activity in rat spermatogonia.

Methods: 9-mer phosphorothioate mTR-ASODN was encapsulated by Lipofect AMINE 2000 (LF 2000) and transfected to type A spermatogonia in Snrague Dawley (SD) rat. Telomerase activity was detected by aid of TRAP-SYBR-Green staining and Bioluminescence technique in type A spermatogonia treated or untreated with ASODN.

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Objectives: To study the expression and the significance of telomerase gene hTERT in testes of infertile male.

Methods: By using in situ hybridization(ISH) techniques, the expression of telomerase gene hTERT mRNA in testes of 47 infertile male and 10 normal testicular tissues were observed.

Results: In male testes, there was a positive correlation between the expression of hTERT and the quantity and density of germ cells(spermatogonia, spermatocyte, spermatid).

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Objectives: To study the change of telomerase activity in rat spermatogonia when the telomerase RNA was enclosed, and reactivity of the change to cytokine(SCF, TGF-beta 1).

Methods: The antisense oligonucleotides(PS-ASON) of telomerase was transfected into proliferating spermatogonia in vitro with the liposomes as the vector. Then the cytokine, stem cell factor (SCF) or transforming growth factor-beta 1(TGF-beta 1), was added.

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