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Bioelectronic osteosynthesis plate to monitor the fracture bone healing using electric capacitive variations.
J Orthop Surg Res
January 2025
Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, 3810-193, Portugal.
Background: Bone fractures represent a global public health issue. Over the past few decades, a sustained increase in the number of incidents and prevalent cases have been reported, as well as in the years lived with disability. Current monitoring techniques predominantly rely on imaging methods, which can result in subjective assessments, and expose patients to unnecessary cumulative doses of radiation.
View Article and Find Full Text PDFA case series on the basic concept and design of removable partial dentures: support and bracing considerations.
BMC Oral Health
January 2025
Department of Removable Prosthodontics, School of Dentistry, Aichi Gakuin University, 2-11 Suemori- dori, Chikusa-ku, Nagoya, Aichi, 464-8651, Japan.
Background: When designing removable partial dentures, maximizing the effectiveness of support and bracing is necessary to minimize denture movement. Therefore, it is essential to emphasize the importance of providing patients with appropriate, safe, and secure removable partial dentures and have clinicians rerecognize the concept and importance of support and bracing. This study aimed to present extension-base removable partial dentures through six specific clinical case series and describe the effect of support and bracing action on denture design, which is essential for denture movement minimization.
View Article and Find Full Text PDFMedical Imaging Data Strategies for Catalyzing AI Medical Device Innovation.
J Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
View Article and Find Full Text PDFPhoton-counting detector CTA to assess intracranial stents and flow diverters: an in vivo study with ultrahigh-resolution spectral reconstructions.
Eur Radiol Exp
January 2025
Department of Neuroradiology, University hospital RWTH Aachen, Aachen, Germany.
Background: To define optimal parameters for the evaluation of vessel visibility in intracranial stents (ICS) and flow diverters (FD) using photon-counting detector computed tomography angiography (PCD-CTA) with spectral reconstructions.
Methods: We retrospectively analyzed consecutive patients with implanted ICS or FD, who received a PCD-CTA between April 2023 and March 2024. Polyenergetic, virtual monoenergetic, pure lumen, and iodine reconstructions with different keV levels (40, 60, and 80) and reconstruction kernels (body vascular [Bv]48, Bv56, Bv64, Bv72, and Bv76) were evaluated by two radiologists with regions of interests and Likert scales.
Dimensional structure of the Brief Illness Perception Questionnaire and Association with adverse childhood experiences in patients with an implantable cardioverter-defibrillator.
Sci Rep
January 2025
Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland.
Illness perceptions (IP), as measured by the Brief Illness Perception Questionnaire (BIPQ), and adverse childhood experiences (ACE) have been shown to affect the physical and psychological well-being in different patient populations. However, little is known about IP and ACE in patients with an implantable cardioverter-defibrillator (ICD). Our objectives were to investigate the dimensional structure and to evaluate correlates of the BIPQ in ICD patients.
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