AIMC Topic: Prostheses and Implants
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AI simulation models for diagnosing disabilities in smart electrical prosthetics using bipolar fuzzy decision making based on choquet integral.
Scientific reports
Aug 10, 2025
The integration of AI simulation models within smart electrical prosthetic systems represents a significant advancement in disability disease diagnosis. However, the selection and evaluation of these AI models interpret some multi-criteria decision-m...
SCAI-Net: An AI-driven framework for optimized, fast, and resource-efficient skull implant generation for cranioplasty using CT images.
Computers in biology and medicine
Jun 7, 2025
Skull damage caused by craniectomy or trauma necessitates accurate and precise Patient-Specific Implant (PSI) design to restore the cranial cavity. Conventional Computer-Aided Design (CAD)-based methods for PSI design are highly infrastructure-intens...
Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT.
International journal of computer assisted radiology and surgery
Apr 5, 2025
PURPOSE: Metal artifacts remain a persistent issue in intraoperative CBCT imaging. Particularly in orthopedic and trauma applications, these artifacts obstruct clinically relevant areas around the implant, reducing the modality's clinical value. Meta...
Metal Suppression Magnetic Resonance Imaging Techniques in Orthopaedic and Spine Surgery.
The Journal of the American Academy of Orthopaedic Surgeons
Mar 11, 2025
Implantation of metallic instrumentation is the mainstay of a variety of orthopaedic and spine surgeries. Postoperatively, imaging of the soft tissues around these implants is commonly required to assess for persistent, recurrent, and/or new patholog...
Biocompatible Neuromorphic Device Array Based on Naturally Sourced Mucin for Implantable Bioelectronics.
ACS nano
Mar 6, 2025
Although the demand for intelligent implantable bioelectronics is steadily increasing, their progress is hindered by the limited availability of materials with sufficient biocompatibility for implantation. Herein, we propose a neuromorphic device wit...
Deep learning assisted prediction of osteogenic capability of orthopedic implant surfaces based on early cell morphology.
Acta biomaterialia
Feb 1, 2025
The surface modification of titanium (Ti) and its alloys is crucial for improving their osteogenic capability, as their bio-inert nature limits effective osseointegration despite their prevalent use in orthopedic implants. However, these modification...
Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants.
ACS applied materials & interfaces
Jan 2, 2025
Current limitations in implant design often lead to trade-offs between minimally invasive surgery and achieving the desired post-implantation functionality. Here, we present an artificial intelligence inverse design paradigm for creating deployable i...
Highly Responsive Robotic Prosthetic Hand Control Considering Electrodynamic Delay.
Sensors (Basel, Switzerland)
Dec 27, 2024
As robots become increasingly integrated into human society, the importance of human-machine interfaces continues to grow. This study proposes a faster and more accurate control system for myoelectric prostheses by considering the Electromechanical D...
Advancements in supervised deep learning for metal artifact reduction in computed tomography: A systematic review.
European journal of radiology
Sep 7, 2024
BACKGROUND: Metallic artefacts caused by metal implants, are a common problem in computed tomography (CT) imaging, degrading image quality and diagnostic accuracy. With advancements in artificial intelligence, novel deep learning (DL)-based metal art...
Skin-inspired, sensory robots for electronic implants.
Nature communications
Jun 5, 2024
Drawing inspiration from cohesive integration of skeletal muscles and sensory skins in vertebrate animals, we present a design strategy of soft robots, primarily consisting of an electronic skin (e-skin) and an artificial muscle. These robots integra...
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