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Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis.
J Med Internet Res
January 2025
Department of Engineering Management and Systems Engineering, George Washington University, Washington, DC, United States.
Background: Large language model (LLM) artificial intelligence chatbots using generative language can offer smoking cessation information and advice. However, little is known about the reliability of the information provided to users.
Objective: This study aims to examine whether 3 ChatGPT chatbots-the World Health Organization's Sarah, BeFreeGPT, and BasicGPT-provide reliable information on how to quit smoking.
Retraction Note: Letter to editor: Comments on, "Factors influencing discharge against medical advice (DAMA) in traumatic brain injury patients requiring decompressive surgery: a comprehensive analysis".
Neurosurg Rev
January 2025
Department of Cariology, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha Dental College and Hospitals, Saveetha University, 600 077, Chennai, India.
First branchial cleft anomalies in children: long-term outcome in 16 patients.
Eur Arch Otorhinolaryngol
January 2025
Otorhinolaryngology, Head and Neck Surgery, University Hospitals Leuven, Leuven, Belgium.
Introduction: First branchial cleft anomalies (FBCA) are rare congenital head and neck malformations, often subject to incorrect diagnosis and treatment. We present our experience with FBCA, focusing on clinical presentation, diagnosis, perioperative relation to the facial nerve, surgical approach, complications and patient satisfaction.
Methods: A consecutive cohort of 16 patients undergoing surgical treatment for FBCA between 1999 and 2021 was analyzed.
Evaluating allograft risk models in organ transplantation: Understanding and balancing model discrimination and calibration.
Liver Transpl
January 2025
Vanderbilt Center for Transplant Science, Vanderbilt University Medical Center, Nashville, TN, PA.
In the field of organ transplantation, the accurate assessment of donor organ quality is necessary to efficient organ allocation and to informed consent for recipients. A common approach to organ quality assessment is the development of statistical models that accurately predict post-transplant survival by integrating multiple characteristics of the donor and allograft. Despite the proliferation of predictive models across many domains of medicine, many physicians may have limited familiarity with how these models are built, the assessment of how well models function in their population and the risks of a poorly performing model.
View Article and Find Full Text PDFStudy Protocol for 'PsilOCD: A Pharmacological Challenge Study Evaluating the Effects of the 5-HT2A Agonist Psilocybin on the Neurocognitive and Clinical Correlates of Compulsivity'.
Cureus
January 2025
Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, GBR.
Background: Obsessive-compulsive disorder (OCD) is a complex condition marked by persistent distressing thoughts and repetitive behaviours. Despite its prevalence, the mechanisms behind OCD remain elusive, and current treatments are limited. This protocol outlines an investigative study for individuals with OCD, exploring the potential of psilocybin to improve key components of cognition implicated in the disorder.
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