A5057955540- Clinical practice guidelines implementation
- COVID-19 Clinical Research Studies
- Meta-analysis and systematic reviews
- Health Systems, Economic Evaluations, Quality of Life
- Long-Term Effects of COVID-19
- Artificial Intelligence in Healthcare and Education
- SARS-CoV-2 and COVID-19 Research
- COVID-19 and healthcare impacts
- Child and Adolescent Health
- Pharmaceutical studies and practices
- COVID-19 and Mental Health
- COVID-19 Impact on Reproduction
- Delphi Technique in Research
- Radiomics and Machine Learning in Medical Imaging
- Sepsis Diagnosis and Treatment
- COVID-19 diagnosis using AI
- Ethics in Clinical Research
- Acupuncture Treatment Research Studies
- Pediatric Pain Management Techniques
- Radiation Dose and Imaging
- Biomedical Text Mining and Ontologies
- Radiology practices and education
- Vaccine Coverage and Hesitancy
- Traditional Chinese Medicine Studies
- COVID-19 epidemiological studies
Lanzhou University
2009-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2023-2025
Hubei University of Arts and Science
2025
Gansu University of Traditional Chinese Medicine
2024
Chinese Medical Association
2024
Stomatology Hospital
2023
Children's Hospital of Chongqing Medical University
2020-2022
Chongqing Medical University
2020-2022
National Clinical Research
2022
China International Science and Technology Cooperation
2020
Large language models (LLMs) such as ChatGPT have become widely applied in the field of medical research. In process conducting systematic reviews, similar tools can be used to expedite various steps, including defining clinical questions, performing literature search, document screening, information extraction, and refinement, thereby conserving resources enhancing efficiency. However, when using LLMs, attention should paid transparent reporting, distinguishing between genuine false...
Large language models (LLMs) have the potential to enhance evidence synthesis efficiency and accuracy. This study assessed LLM-only LLM-assisted methods in data extraction risk of bias assessment for 107 trials on complementary medicine. Moonshot-v1-128k Claude-3.5-sonnet achieved high accuracy (≥95%), with performing better (≥97%). significantly reduced processing time (14.7 5.9 min vs. 86.9 10.4 conventional methods). These findings highlight LLMs' when integrated human expertise.
Despite the increasing number of radiological case reports, majority lack a standardised methodology writing and reporting. We therefore develop reporting guideline for reports based on CAse REport (CARE) statement. established multidisciplinary group experts, comprising 40 radiologists, methodologists, journal editors researchers, to according recommended by Enhancing QUAlity Transparency Of health Research network. The Delphi panel was requested evaluate significance list elements...