Quality evaluation in the field of Augmented Surgery is strategic for public health policies. It implies to be able to effectively perform evaluation of Quality in term of Expected Medical Benefit (EMB). The notion of EMB is complex and not standardized in this field. To define and to evaluate EMB, it is necessary to discover the knowledge on the domain targeted by the device and to structure it. This paper presents first parts of this work. Focused on navigated knee surgery, it led us to obtain two main results: the identification of a new criterion for evaluating EMB obtained thanks to the formalization of a new kind of metadata. These encouraging results seem to offer new perspectives for the evaluation of devices from the field of augmented surgery.
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Sensors (Basel)
January 2025
Division of Robotics, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Wearable motion capture gloves enable the precise analysis of hand and finger movements for a variety of uses, including robotic surgery, rehabilitation, and most commonly, virtual augmentation. However, many motion capture gloves restrict natural hand movement with a closed-palm design, including fabric over the palm and fingers. In order to alleviate slippage, improve comfort, reduce sizing issues, and eliminate movement restrictions, this paper presents a new low-cost data glove with an innovative open-palm and finger-free design.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms-ranging from deep learning to neuromorphic computing-are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain-computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Urology, Faculty of Medicine, Recep Tayyip Erdogan University, 53000 Rize, Turkey.
Semen analysis is universally regarded as the gold standard for diagnosing male infertility, while ultrasonography plays a vital role as a complementary diagnostic tool. This study aims to assess the effectiveness of artificial intelligence (AI)-driven deep learning algorithms in predicting semen analysis parameters based on testicular ultrasonography images. This study included male patients aged 18-54 who sought evaluation for infertility at the Urology Outpatient Clinic of our hospital between February 2022 and April 2023.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Surgery, National University Hospital, Singapore 119074, Singapore.
Background: In recent years, Artificial Intelligence (AI) has shown transformative potential in advancing breast cancer care globally. This scoping review seeks to provide a comprehensive overview of AI applications in breast cancer care, examining how they could reshape diagnosis, treatment, and management on a worldwide scale and discussing both the benefits and challenges associated with their adoption.
Methods: In accordance with PRISMA-ScR and ensuing guidelines on scoping reviews, PubMed, Web of Science, Cochrane Library, and Embase were systematically searched from inception to end of May 2024.
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