Publications by authors named "Peng-Ran Liu"
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.
View Article and Find Full Text PDFArtificial 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.
View Article and Find Full Text PDFObjective: 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.
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.
Article Synopsis
- 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.
Purpose: The purpose of this study was to introduce a new classification system for paediatric femoral neck fractures (PFNFs) and to evaluate its reliability.
Methods: Two hundred and eight unilateral PFNFs (mean patient age: 9.0 ± 4.
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.
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.
View Article and Find Full Text PDFArticle 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.