Publications by authors named "Dylan Gracias"
Article Synopsis
- AI technologies are helping breast surgery by improving how doctors perform operations and how patients are treated.
- Researchers looked at many studies using AI in breast surgery, examining its effects from before to after the surgery.
- AI helps in predicting cancer risks, classifying tumors, and even assisting during surgery to make it safer and more effective.
Background: While current wound treatment strategies often focus on antimicrobials and topical agents, the role of nutrition in wound healing and aesthetic outcomes is crucial but frequently overlooked. This review assesses the impact of specific nutrients and preoperative nutritional status on surgical outcomes.
Methods: A comprehensive search was conducted in PubMed, Scopus, Web of Science, and the Cochrane Library, from the inception of the study to October 2023.
Background: Appendicitis is a common surgical condition that requires urgent medical attention. Recent advancements in artificial intelligence and large language processing, such as ChatGPT, have demonstrated potential in supporting healthcare management and scientific research. This study aims to evaluate the accuracy and comprehensiveness of ChatGPT's knowledge on appendicitis management.
View Article and Find Full Text PDFPurpose: Recently, large language models, such as ChatGPT, have emerged as promising tools to facilitate scientific research and health care management. The present study aimed to explore the extent of knowledge possessed by ChatGPT concerning carpal tunnel syndrome (CTS), a compressive neuropathy that may lead to impaired hand function and that is frequently encountered in the field of hand surgery.
Methods: Six questions pertaining to diagnosis and management of CTS were posed to ChatGPT.
Background: The impact of chemotherapy on complications following breast reconstruction surgery (BRS) is currently inconclusive. This meta-analysis investigates the impact of chemotherapy on complication rates in BRS.
Methods: Preferred Reporting in Systematic Review and Meta-Analysis (PRISMA) guidelines was used to search relevant studies published from January 2006 to March 2022.
Objectives: To evaluate the diagnostic performance of FDA-approved urinary biomarkers in the evaluation of primary haematuria for investigation of bladder cancer.
Methods: The scientific databases MEDLINE, EMBASE, Pubmed and Web of Science were searched to collect studies. Studies that evaluated the diagnostic performance of FDA-approved urinary biomarkers in investigating patients with primary haematuria without a prior history of bladder cancer were included.