Reply: Search for a predictive relationship between ultrasound thickness of the lower uterine segment and rupture of the uterus in women with a prior cesarean does not make biological sense.

Am J Obstet Gynecol

Department of Obstetrics and Gynecology, Centre Hospitalier Intercommunal de Poissy/Saint-Germain-en-Laye, Rue du Champ Gaillard, 78303 Poissy Cedex, France; Research Unit EA 7285, Versailles-Saint-Quentin University, Saint Quentin en Yvelines, France. Electronic address:

Published: February 2022

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ajog.2021.09.030DOI Listing

Publication Analysis

Top Keywords

reply search
4
search predictive
4
predictive relationship
4
relationship ultrasound
4
ultrasound thickness
4
thickness lower
4
lower uterine
4
uterine segment
4
segment rupture
4
rupture uterus
4

Similar Publications

Large language models' performances regarding common patient questions about osteoarthritis: A comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and perplexity.

J 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 PDF

Background: As the burden of cardiovascular disease grows, so does the number of cardiac surgeries. Surgery is increasingly performed on older people with comorbidities who are at higher risk of developing perioperative complications such as low cardiac output state (LCOS). Surgery-associated LCOS represents a serious pathology responsible for substantial morbidity and mortality.

View Article and Find Full Text PDF

Online public response to emergency department diagnostic error report: A qualitative study.

Acad Emerg Med

November 2024

Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

Background: The 2022 study on diagnostic error in the emergency department (ED) published by the Agency for Healthcare Research and Quality (AHRQ) reported that one in every 18 ED patients is misdiagnosed. The report was methodologically critiqued by emergency physicians and researchers. However, little is known about public perception of error in the ED.

View Article and Find Full Text PDF

Background: The emergence of artificial intelligence (AI) has allowed users to have access to large sources of information in a chat-like manner. Thereby, we sought to evaluate ChatGPT-4 response's accuracy to the 10 patient most frequently asked questions (FAQs) regarding anterior cruciate ligament (ACL) surgery.

Methods: A list of the top 10 FAQs pertaining to ACL surgery was created after conducting a search through all Sports Medicine Fellowship Institutions listed on the Arthroscopy Association of North America (AANA) and American Orthopaedic Society of Sports Medicine (AOSSM) websites.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!