To ensure that clinical research arrives at the "right" answers to the right questions for patients, studies should be designed to more closely approximate real-world use of therapeutics and devices.
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http://dx.doi.org/10.1126/scitranslmed.3007649 | DOI Listing |
J Assist Reprod Genet
January 2025
Department of Obstetrics and Gynecology, Cairo University, Cairo, Egypt.
PGT-A, what's it for? Considering the increase in fetal aneuploidies with a woman's age and the high number of miscarriages associated with fetal karyotype anomalies, the concept of selecting IVF embryos based on their karyotype in order to transfer only euploid embryos and eliminate aneuploid ones was proposed. Preimplantation genetic testing for aneuploidy (PGT-A) was then established, nearly 30 years ago, with the expectation that the transfer of euploid embryos would lead to a significant improvement in medically assisted reproduction (MAR) outcomes. PGT-A, what's wrong? Despite the practice and widespread use, PGT-A has not consistently proven its effectiveness.
View Article and Find Full Text PDFEye (Lond)
January 2025
Ophthalmology Department, Norfolk & Norwich University Hospital, Norwich, UK.
Background: This study presents a comprehensive evaluation of the performance of various large language models in generating responses for ophthalmology emergencies and compares their accuracy with the established United Kingdom's National Health Service 111 online system.
Methods: We included 21 ophthalmology-related emergency scenario questions from the NHS 111 triaging algorithm. These questions were based on four different ophthalmology emergency themes as laid out in the NHS 111 algorithm.
Brain Behav
January 2025
Technion Faculty of Medicine, Haifa, Israel.
Objective: Medical personnel show difficulty in differentiating psychogenic nonepileptic seizures (PNES) from epileptic seizures (ES). The purpose of this study was to conduct an initial feasibility assessment of the global dynamic impression (GDI) principle and to evaluate its effectiveness in enabling the diagnosis of epileptic versus psychogenic seizures using video footage of events, even by untrained personnel METHODS: We based this study on video footage showing five videos of PNES and five ES videos. We asked physicians and nurses from the emergency department, internal medicine department, neurology department, and medical students to classify the videos before and after learning the GDI principle.
View Article and Find Full Text PDFInt J Ophthalmol
January 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai 200080, China.
Aim: To assess the possibility of using different large language models (LLMs) in ocular surface diseases by selecting five different LLMS to test their accuracy in answering specialized questions related to ocular surface diseases: ChatGPT-4, ChatGPT-3.5, Claude 2, PaLM2, and SenseNova.
Methods: A group of experienced ophthalmology professors were asked to develop a 100-question single-choice question on ocular surface diseases designed to assess the performance of LLMs and human participants in answering ophthalmology specialty exam questions.
Urogynecology (Phila)
January 2025
From the Division of Urogynecology, Walter Reed National Military Medical Center, Bethesda, MD.
Importance: Use of the publicly available Large Language Model, Chat Generative Pre-trained Transformer (ChatGPT 3.5; OpenAI, 2022), is growing in health care despite varying accuracies.
Objective: The aim of this study was to assess the accuracy and readability of ChatGPT's responses to questions encompassing surgical informed consent in urogynecology.
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