Burn injuries often require immediate assistance and specialized care for optimal management and outcomes. The emergence of accessible artificial intelligence technology has just recently started being applied to healthcare decision making and patient education. However, its role in clinical recommendations is still under scrutiny. This study aims to evaluate ChatGPT's outputs and the appropriateness of its responses to commonly asked questions regarding acute burn care when compared to the American Burn Association Guidelines. Twelve commonly asked questions were formulated by a fellowship-trained burn surgeon to address the American Burn Association's recommendations on burn injuries, management, and patient referral. These questions were prompted into ChatGPT, and each response was compared with the aforementioned guidelines, the gold standard for accurate and evidence-based burn care recommendations. Three burn surgeons independently evaluated the appropriateness and comprehensiveness of each ChatGPT response based on the guidelines according to the modified Global Quality Score scale. The average score for ChatGPT-generated responses was 4.56 ± 0.65, indicating the responses were exceptional quality with the most important topics covered and in high concordance with the guidelines. This initial comparison of ChatGPT-generated responses and the American Burn Association guidelines demonstrates that ChatGPT can accurately and comprehensibly describe appropriate treatment and management plans for acute burn injuries. We foresee that ChatGPT may play a role as a complementary tool in medical decision making and patient education, having a profound impact on clinical practice, research, and education.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/SAP.0000000000004128 | DOI Listing |
Surg Neurol Int
December 2024
Department of Medicine, University of Hawai'i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA.
Background: One avenue to improve outcomes among brain tumor patients involves the mitigation of healthcare disparities. Investigating clinical differences among brain tumors across socioeconomic and demographic strata, such can aid in healthcare disparity identification and, by extension, outcome improvement.
Methods: Utilizing a racially diverse population from Hawaii, 323 cases of brain tumors (meningiomas, gliomas, schwannomas, pituitary adenomas, and metastases) were matched by age, sex, and race to 651 controls to investigate the associations between tumor type and various demographic, socioeconomic, and medical comorbidities.
Trans R Soc Trop Med Hyg
January 2025
Euclid University, Department of Global Health & Bioethics, Banjul, C74F+J4Q, Sukuta, Gambia.
Background: Noma is a severe orofacial disease with high mortality and morbidity. Although severity scales exist, they fail to fully capture the extent of damage caused by the disease.
Methods: This study analysed 404 photos of 260 noma cases from Facing Africa (n=228) and Project Harar (n=32) to create a new severity classification system.
J Am Coll Radiol
December 2024
Vice Chair for Radiology, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts; Co-Chair, RSNA Health Equity Committee; Associate Editor, Journal of the American College of Radiology.
Purpose: The aim of this study was to assess how pandemic-related health concerns and discrimination affected cancer screenings among Asian American women (AAW).
Methods: A two-phase explanatory mixed-methods study was conducted. In phase 1, a survey was distributed among AAW eligible for lung, breast, or colorectal cancer screening to assess delays during the pandemic, concerns about contracting coronavirus disease 2019 (COVID-19), barriers to care, and experiences of discrimination.
Physiol Rep
January 2025
Department of Medicine, John A. Burns School of Medicine, University of Hawaii Mānoa, Honolulu, Hawaii, USA.
Inflammation and a metabolic shift from oxidative metabolism to glycolysis are common in the ischemic heart, the latter partly controlled by pyruvate kinase (muscle, PKM). We previously identified alternative splicing promoting the PKM2 isoform after myocardial infarction (MI). We examined the role of PKM2 physiological upregulation after MI, modeled by ligation of the left anterior descending coronary artery, using global PKM2 knockout (PKM2) mice.
View Article and Find Full Text PDFInt Marit Health
January 2025
Department of Epidemiology and Tropical Medicine; Military Institute of Medicine - National Research Institute, Warsaw, Poland.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!