Evaluating Compliance of Randomized Controlled Trial Abstracts in Plastic Surgery Journals with CONSORT Guidelines Using GPT-4 AI.

Background: The quality of reporting in randomized controlled trials (RCTs) is crucial for accurate interpretation and synthesis of evidence. The Consolidated Standards of Reporting Trials (CONSORT) guidelines provide a standardized framework for reporting RCT abstracts. This study aimed to evaluate the adherence of RCT abstracts published in three major plastic surgery journals to the CONSORT tool guideline for reporting abstracts, utilizing Generative Pre-trained Transformer 4 artificial intelligence (GPT-4 AI) technology.

Children's body mass index and associated factors in Riyadh, Saudi Arabia.

Twenty million children under 5 years old are estimated to suffer from malnutrition worldwide. The objective of this study is to determine factors associated with Riyadh children's nutritional status. An institutional-based cross-sectional study was conducted among children aged 6-12, excluding mentally ill children.

Haplotype information of large neuromuscular disease genes provided by linked-read sequencing has a potential to increase diagnostic yield.

Rare or novel missense variants in large genes such as TTN and NEB are frequent in the general population, which hampers the interpretation of putative disease-causing biallelic variants in patients with sporadic neuromuscular disorders. Often, when the first initial genetic analysis is performed, the reconstructed haplotype, i.e.

Can a Machine Ace the Test? Assessing GPT-4.0's Precision in Plastic Surgery Board Examinations.

Background: As artificial intelligence makes rapid inroads across various fields, its value in medical education is becoming increasingly evident. This study evaluates the performance of the GPT-4.0 large language model in responding to plastic surgery board examination questions and explores its potential as a learning tool.