As a novel analgesic method, erector spinae plane block is increasingly widely used during perioperative period. This technique mainly injects local anesthetic drugs into the connective tissue between the deep fascia of the erector muscle and the transverse process of the vertebral body to achieve a blocking effect. Its role in postoperative analgesia in adult patients has been verified. Currently, case reports have shown that it also has a certain analgesic effect in pediatric patients, which can reduce postoperative pain scores and opioid consumption. Therefore, this article explores the application of erector spinae plane block in pediatric patients from various aspects, summarizes existing research results, and aims to provide more evidence for clinicians to reasonably use this block technique in the pediatric population.
As one of the hot topics in the field of artificial intelligence, large language models are being applied in various domains, including medical research. ChatGPT (Chat Generative Pre-trained Transformer), as one of the most representative and leading large language models, has gained popularity among researchers due to its logical coherence and natural language generation capabilities. This article reviews the applications and limitations of ChatGPT in three key areas of medical research: scientific writing, data analysis, and drug development. Furthermore, it explores future development trends and provides recommendations for improvement, offering a reference for the application of ChatGPT in medical research.
