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http://dx.doi.org/10.1016/j.resuscitation.2018.01.015 | DOI Listing |
Eur Respir J
December 2024
Observational and Pragmatic Research Institute, Singapore.
https://bit.ly/3O016tT
View Article and Find Full Text PDFJ Sport Health Sci
November 2024
Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, 999077 Hong Kong, China; Center for Neuromusculoskeletal Restorative Medicine (CNRM), The Chinese University of Hong Kong, 999077 Hong Kong, China. Electronic address:
Background: Large Language Models (LLMs) have gained much attention and, in part, have replaced common search engines as a popular channel for obtaining information due to their contextually relevant responses. Osteoarthritis (OA) is a common topic in skeletal muscle disorders, and patients often seek information about it online. Our study evaluated the ability of 3 LLMs (ChatGPT-3.
View Article and Find Full Text PDFCan J Anaesth
October 2024
Department of Anesthesia and Pain Management, Mount Sinai Hospital, Toronto, ON, Canada.
Pediatr Cardiol
January 2025
Department of Cardiology, Hunan Children's Hospital, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University, No. 86 Ziyuan Road, Changsha, 410007, Hunan, People's Republic of China.
The article "Effect of Bedside Ultrasound‑Guided Versus Fluoroscopy‑Guided Transvenous Cardiac Temporary Pacing in Children with Bradyarrhythmia" offers valuable insights into comparative short-term pacing strategies for pediatric bradyarrhythmias. There are some comments that the study overlooks the impact of genetic factors on bradyarrhythmias and treatment outcomes, lacks detailed information on the influence of medications, and does not address the cost-effectiveness of the pacing techniques. The analysis and explanation are made here, and it is hoped that through further research in the future, the conclusions will be more reliable.
View Article and Find Full Text PDFJ Med Internet Res
August 2024
Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore.
Background: Patient complaints are a perennial challenge faced by health care institutions globally, requiring extensive time and effort from health care workers. Despite these efforts, patient dissatisfaction remains high. Recent studies on the use of large language models (LLMs) such as the GPT models developed by OpenAI in the health care sector have shown great promise, with the ability to provide more detailed and empathetic responses as compared to physicians.
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