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IntroductionThe application of artificial intelligence (AI) in healthcare has expanded in recent years, and these tools such as ChatGPT to generate patient-facing information have garnered particular interest. Online cleft lip and palate (CL/P) surgical information supplied by academic/professional (A/P) sources was therefore evaluated against ChatGPT regarding accuracy, comprehensiveness, and clarity.Methods11 plastic and reconstructive surgeons and 29 non-medical individuals blindly compared responses written by ChatGPT or A/P sources to 30 frequently asked CL/P surgery questions. Surgeons indicated preference, determined accuracy, and scored comprehensiveness and clarity. Non-medical individuals indicated preference. Calculations of readability scores were determined using seven readability formulas. Statistical analysis of CL/P surgical online information was performed using paired t-tests.ResultsSurgeons, 60.88% of the time, blindly preferred material generated by ChatGPT over A/P sources. Additionally, surgeons consistently indicated that ChatGPT-generated material was more comprehensive and had greater clarity. No significant difference was found between ChatGPT and resources provided by professional organizations in terms of accuracy. Among individuals with no medical background, ChatGPT-generated materials were preferred 60.46% of the time. For materials from both ChatGPT and A/P sources, readability scores surpassed advised levels for patient proficiency across seven readability formulas.ConclusionAs the prominence of ChatGPT-based language tools rises in the healthcare space, potential applications of the tools should be assessed by experts against existing high-quality sources. Our results indicate that ChatGPT is capable of producing high-quality material in terms of accuracy, comprehensiveness, and clarity preferred by both plastic surgeons and individuals with no medical background.
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http://dx.doi.org/10.1177/10556656241266368 | DOI Listing |
Front Microbiol
August 2025
Department of Integrative Biology, Oregon State University, Corvallis, OR, United States.
The facultative-parasitic nematode has been used for many years as a biological control agent targeting slug pests. During the nematode's infection process, the presence of certain bacteria has been suggested to affect the pathogenicity and efficiency of the nematodes in killing slugs, though the potential roles of different bacteria in affecting host-infection by nematodes remain unclear. In this study, we examined three experimental populations cultured with three different bacteria: 1) (EC), 2) a newly isolated sp.
View Article and Find Full Text PDFCureus
August 2025
Internal Medicine, Majmaah University, Al Majma'ah, SAU.
Background: A relationship between obesity, as measured by body mass index (BMI), and multiple sclerosis (MS) has been reported in several observational studies. This study aimed to investigate the potential causal relationship between BMI and the risk of developing MS using a Mendelian randomization (MR) approach.
Materials And Methods: A two-sample MR analysis was performed using single nucleotide polymorphisms (SNPs) associated with the exposures - BMI and MS - sourced from publicly available genome-wide association studies (GWAS) at a genome-wide significance threshold of = 5 × 10.
BMJ Open
September 2025
The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Background: Extrapulmonary tuberculosis (EPTB) is a serious type of tuberculosis (TB) which can cause systemic clinical manifestations. Rapid diagnosis of EPTB for intervention is of great importance. Nanopore sequencing as a third-generation gene sequencing method is a new kind of rapid TB detection.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Physics E.R. Caianiello, University of Salerno, Fisciano-Salerno, Italy.
Earthquake Early Warning (EEW) systems can provide seconds to tens of seconds of advanced notice before the arrival of destructive seismic waves. Their effectiveness, however, depends on how quickly and accurately each system forecasts ground motion using real-time data. This study compares the performance of two distinct EEW algorithms (PLUM (Kodera et al.
View Article and Find Full Text PDFCNS Drugs
September 2025
Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Objective: To characterize multinational trends and patterns of opioid analgesic prescribing by sex and age.
Design, Setting, And Participants: We studied opioid analgesic prescribing from 2001 to 2019 with common protocol using population-based databases from eighteen countries and one special administrative region.
Main Outcome Measures: We measured opioid prescribing by geographical region, sex and age, estimating annual prevalent, incident, and nonincident opioid prescribing per 100 population with a 95% confidence interval (CI) and meta-analyzed the multinational and regional opioid prescribing with a random-effects model.