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http://dx.doi.org/10.1038/s41592-024-02370-y | DOI Listing |
Pflugers Arch
September 2025
Department of Science, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Hypoxia has been extensively studied as a stressor which pushes human bodily systems to responses and adaptations. Nevertheless, a few evidence exist onto constituent trains of motor unit action potential, despite recent advancements which allow to decompose surface electromyographic signals. This study aimed to investigate motor unit properties from noninvasive approaches during maximal isometric exercise in normobaric hypoxia.
View Article and Find Full Text PDFDtsch Med Wochenschr
September 2025
Klinik für Kardiologie, Angiologie und Pneumologie, Institut für Cardiomyopathien Heidelberg, Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
Rapid advancements in Artificial Intelligence (AI) have significantly impacted multiple sectors of our society, including healthcare. While conventional AI has been instrumental in solving mainly image recognition tasks and thereby adding in well-defined situations such as supporting diagnostic imaging, the emergence of generative AI is impacting on one of the main professional competences: doctor-patient interaction.A convergence of natural language processing (NLP) and generative AI is exemplified by intelligent chatbots like ChatGPT.
View Article and Find Full Text PDFActa Neurochir (Wien)
September 2025
Department of Neurosurgery, Istinye University, Istanbul, Turkey.
Background: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasize that the level of knowledge and response consistency of the LLMs are generally acceptable; however, further optimization is needed in areas such as case discussion, interpretation, and language proficiency. Therefore, this study aimed to evaluate the performance of six distinct LLMs for Turkish and English neurosurgery multiple-choice questions and assess their accuracy and consistency in a specialized medical context.
View Article and Find Full Text PDFRadiology
September 2025
Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA 02115.
Despite the rapid growth of Food and Drug Administration-cleared artificial intelligence (AI)- and machine learning-enabled medical devices for use in radiology, current tools remain limited in scope, often focusing on narrow tasks and lacking the ability to comprehensively assist radiologists. These narrow AI solutions face limitations in financial sustainability, operational efficiency, and clinical utility, hindering widespread adoption and constraining their long-term value in radiology practice. Recent advances in generative and multimodal AI have expanded the scope of image interpretation, prompting discussions on the development of generalist medical AI.
View Article and Find Full Text PDFClin Infect Dis
September 2025
VA Maryland Health Care System, Baltimore, Maryland, USA.
A retrospective cohort study compared generative artificial intelligence (GenAI) vs. infection control expert for catheter-associated urinary tract infection (CAUTI) detection. Sensitivity was 95.
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