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Ovarian cancer staging and follow-up: updated guidelines from the European Society of Urogenital Radiology female pelvic imaging working group.
Eur Radiol
January 2025
Department of Radiology, Montpellier Research Center Institute, PINKCC Laboratory, Montpellier, France.
Objective: To provide up-to-date European Society of Urogenital Radiology (ESUR) guidelines for staging and follow-up of patients with ovarian cancer (OC).
Methods: Twenty-one experts, members of the female pelvis imaging ESUR subcommittee from 19 institutions, replied to 2 rounds of questionnaires regarding imaging techniques and structured reporting used for pre-treatment evaluation of OC patients. The results of the survey were presented to the other authors during the group's annual meeting.
REPLY: THE LETTER TO THE EDITOR CONCERNING THE MANUSCRIPT ENTITLED "PRETREATED LYOPHILIZED HUMAN AMNIOTIC MEMBRANE GRAFT COVERING FOR RETINAL DETACHMENT WITH POSTERIOR RETINAL BREAKS ABOVE CHORIORETINAL ATROPHY IN PATHOLOGIC MYOPIA".
Retina
October 2024
The Eye Hospital, School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Large-Language Models in Orthodontics: Assessing Reliability and Validity of ChatGPT in Pretreatment Patient Education.
Cureus
August 2024
Section of Orthodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, DNK.
Background: Patients seeking orthodontic treatment may use large language models (LLMs) such as Chat-GPT for self-education, thereby impacting their decision-making process. This study assesses the reliability and validity of Chat-GPT prompts aimed at informing patients about orthodontic side effects and examines patients' perceptions of this information.
Materials And Methods: To assess reliability, n = 28 individuals were asked to generate information from GPT-3.
Incentivizing news consumption on social media platforms using large language models and realistic bot accounts.
PNAS Nexus
September 2024
Amsterdam School for Communication Research, University of Amsterdam, Amsterdam, The Netherlands.
Polarization, misinformation, declining trust, and wavering support for democratic norms are pressing threats to the US Exposure to verified and balanced news may make citizens more resilient to these threats. This project examines how to enhance users' exposure to and engagement with verified and ideologically balanced news in an ecologically valid setting. We rely on a 2-week long field experiment on 28,457 Twitter users.
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