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| http://dx.doi.org/10.3389/fmed.2025.1573853 | DOI Listing |
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KAN-EEG: towards replacing backbone-MLP for an effective seizure detection system.
R Soc Open Sci
March 2025
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
The landscape of artificial intelligence (AI) research is witnessing a transformative shift with the emergence of the Kolmogorov-Arnold network (KAN), presenting a novel architectural paradigm aimed to redefine the structural foundations of AI models, which are based on multilayer perceptron (MLP). Through rigorous experimentation and evaluation, we introduce the KAN-electroencephalogram (EEG) model, a tailored design for efficient seizure detection. Our proposed network is tested and successfully generalized on three different datasets, one from the USA, one from Europe, and one from Oceania, recorded with different front-end hardware.
View Article and Find Full Text PDFA global survey about undiagnosed rare diseases: perspectives, challenges, and solutions.
Front Public Health
March 2025
National Center Rare Diseases - Undiagnosed Rare Diseases Interdepartmental Unit, Istituto Superiore di Sanità, Rome, Italy.
Background: Undiagnosed rare diseases (URDs) are a complex and multifaceted challenge, especially in low-and medium-income countries. They affect individuals with unique clinical features and lack a clear diagnostic label. Although the Undiagnosed Diseases Network International (UDNI) definition of URDs is not universally accepted, it is widely recognized.
View Article and Find Full Text PDFArtificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review.
Front Surg
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The Loyal and Edith Davis Neurosurgical Research Laboratory, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.
Objective: This systematic literature review of the integration of artificial intelligence (AI) applications in surgical practice through hand and instrument tracking provides an overview of recent advancements and analyzes current literature on the intersection of surgery with AI. Distinct AI algorithms and specific applications in surgical practice are also examined.
Methods: An advanced search using medical subject heading terms was conducted in Medline (via PubMed), SCOPUS, and Embase databases for articles published in English.
Editorial: Modern advances in arthroplasty.
Front Surg
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Division of Orthopedic Surgery, Department of Surgery, University of Alberta, Edmonton, AB, Canada.
Aim: In Japan, emergency ambulance dispatches involve minor cases requiring outpatient services, emphasizing the need for improved public guidance regarding emergency care. This study evaluated both the medical plausibility of the GPT model in aiding laypersons to determine the need for emergency medical care and the laypersons' interpretations of its outputs.
Methods: This cross-sectional study was conducted from December 10, 2023, to March 7, 2024.
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