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Performance of ChatGPT-4o in the diagnostic workup of fever among returning travelers requiring hospitalization: a validation study.
J Travel Med
January 2025
Infectious Diseases Unit, Sheba Medical Center, Tel HaShomer, Ramat Gan, Israel.
Background: Febrile illness in returned travelers presents a diagnostic challenge in non-endemic settings. Chat generative pretrained transformer (ChatGPT) has the potential to assist in medical tasks, yet its diagnostic performance in clinical settings has rarely been evaluated. We conducted a preliminary validation assessment of ChatGPT-4o's performance in the workup of fever in returning travelers.
View Article and Find Full Text PDFChatGPT-Assisted Machine Learning for Chronic Disease Classification and Prediction: A Developmental and Validation Study.
Cureus
December 2024
Department of Medicine, Medical Teaching Institution (MTI) Hayatabad Medical Complex, Peshawar, PAK.
Background Chronic diseases such as chronic kidney disease (CKD), chronic liver disease (CLD), tuberculosis (TB), dementia, and heart disease are global health concerns of significant importance, representing major causes of morbidity and mortality worldwide. Early diagnosis and interventions are critical to improve patient outcomes and reduce healthcare costs. Methods This prospective observational study analyzed clinical data from 270 patients (calculated using G*Power 3.
View Article and Find Full Text PDFOutcome Measures to Evaluate Functional Recovery in Survivors of Respiratory Failure: A Scoping Review.
CHEST Crit Care
September 2024
Department of Epidemiology, New York University, New York, NY.
Background: Respiratory failure is a life-threatening condition affecting millions of individuals in the United States annually. Survivors experience persistent functional impairments, decreased quality of life, and cognitive impairments. However, no established standard exists for measuring functional recovery among survivors of respiratory failure.
View Article and Find Full Text PDFLarge-scale and long-term wildlife research and monitoring using camera traps: a continental synthesis.
Biol Rev Camb Philos Soc
January 2025
Wildlife Observatory of Australia (WildObs), Queensland Cyber Infrastructure Foundation (QCIF), Brisbane, Queensland, 4072, Australia.
Camera traps are widely used in wildlife research and monitoring, so it is imperative to understand their strengths, limitations, and potential for increasing impact. We investigated a decade of use of wildlife cameras (2012-2022) with a case study on Australian terrestrial vertebrates using a multifaceted approach. We (i) synthesised information from a literature review; (ii) conducted an online questionnaire of 132 professionals; (iii) hosted an in-person workshop of 28 leading experts representing academia, non-governmental organisations (NGOs), and government; and (iv) mapped camera trap usage based on all sources.
View Article and Find Full Text PDFModeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times.
Environ Sci Pollut Res Int
January 2025
Institute of Industrial Science (IIS), The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa City, 277-8575, Chiba, Japan.
During the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident on March 11, 2011, radionuclides such as tritium were released into the environment across Japan, obscuring the natural background signal of tritium in precipitation. This anthropogenic component was rapidly washed out by precipitation according to measurements in Japan. However, the impact of the accident on the natural tritium-based estimation of water system transit times in Fukushima and other prefectures in Japan remains uncertain.
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