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The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review.
Front Artif Intell
December 2024
Department of Orthopedic Hip and Knee Surgery, Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Background: Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.
View Article and Find Full Text PDFNEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function.
Sci Data
January 2025
Brain and Language Lab, Department of Psychology, Faculty of Psychology and Education Science, University of Geneva, Geneva, Switzerland.
This paper introduces the "NEBULA101 - Neuro-behavioural Understanding of Language Aptitude" dataset, which comprises behavioural and brain imaging data from 101 healthy adults to examine individual differences in language and cognition. Human language, a multifaceted behaviour, varies significantly among individuals, at different processing levels. Recent advances in cognitive science have embraced an integrated approach, combining behavioural and brain studies to explore these differences comprehensively.
View Article and Find Full Text PDFAssessing the Landscape of AI-Powered Patient Documentation in Dermatology.
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Background: The prevalence of burnout among United States (US) dermatologists has surged, reaching 49% in 2023, with a growing volume of bureaucratic tasks (eg, charting, paperwork) the leading factor behind professional fatigue. We seek to explore the competitive landscape and efficacy of AI-powered patient documentation to alleviate burnout among dermatologists by optimizing documentation practices while maintaining accuracy.
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Techniques, Models, and Variables of Interest in Studies of Intrinsic Laryngeal Muscle Fiber Types: A Bibliometric Analysis.
J Voice
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Department of Communication Sciences and Disorders, The University of Iowa, Iowa City, IA.
Introduction: Laryngeal muscle physiology is integral to many speech, voice, swallowing, and respiratory functions. A key determinant of a muscle's contractile properties, including its fatigue profile and capacity for force production, is the myosin heavy chain (MyHC) isoform that predominates in the muscle. This study surveys literature on the MyHC compositions of mammalian intrinsic laryngeal skeletal muscle to illustrate trends and gaps in laryngeal muscle fiber typing techniques, models, and concepts.
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