AIMC Topic: Prostheses and Implants
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Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.
Journal of medical systems
May 23, 2024
Designing implants for large and complex cranial defects is a challenging task, even for professional designers. Current efforts on automating the design process focused mainly on convolutional neural networks (CNN), which have produced state-of-the-...
Graph-Driven Simultaneous and Proportional Estimation of Wrist Angle and Grasp Force via High-Density EMG.
IEEE journal of biomedical and health informatics
May 6, 2024
Myoelectric prostheses are generally unable to accurately control the position and force simultaneously, prohibiting natural and intuitive human-machine interaction. This issue is attributed to the limitations of myoelectric interfaces in effectively...
Optimal Implant Sizing Using Machine Learning Is Associated With Increased Range of Motion After Cervical Disk Arthroplasty.
Neurosurgery
Mar 29, 2024
BACKGROUND AND OBJECTIVES: Cervical disk arthroplasty (CDA) offers the advantage of motion preservation in the treatment of focal cervical pathology. At present, implant sizing is performed using subjective tactile feedback and imaging of trial cages...
Monitoring of Remotely Reprogrammable Implantable Loop Recorders With Algorithms to Reduce False-Positive Alerts.
Journal of the American Heart Association
Feb 23, 2024
BACKGROUND: Implantable loop recorders (ILRs) are increasingly placed for arrhythmia detection. However, historically, ≈75% of ILR alerts are false positives, requiring significant time and effort for adjudication. The LINQII and LUX-Dx are remotely ...
A macro-micro FE and ANN framework to assess site-specific bone ingrowth around the porous beaded-coated implant: an example with BOX® tibial implant for total ankle replacement.
Medical & biological engineering & computing
Feb 7, 2024
The use of mechanoregulatory schemes based on finite element (FE) analysis for the evaluation of bone ingrowth around porous surfaces is a viable approach but requires significant computational time and effort. The aim of this study is to develop a c...
Resource-Efficient Neural Network Architectures for Classifying Nerve Cuff Recordings on Implantable Devices.
IEEE transactions on bio-medical engineering
Jan 19, 2024
BACKGROUND: Closed-loop functional electrical stimulation can use recorded nerve signals to create implantable systems that make decisions regarding nerve stimulation in real-time. Previous work demonstrated convolutional neural network (CNN) discrim...
Quantitative noninvasive measurement of cerebrospinal fluid flow in shunted hydrocephalus.
Journal of neurosurgery
Oct 6, 2023
OBJECTIVE: Standard MRI protocols lack a quantitative sequence that can be used to evaluate shunt-treated patients with a history of hydrocephalus. The objective of this study was to investigate the use of phase-contrast MRI (PC-MRI), a quantitative ...
Robotic self-modulation enhances implantable long-acting drug delivery devices.
Science robotics
Aug 30, 2023
Integrating fibrotic capsule sensing with soft robotics may boost long-term performance of implantable drug delivery devices.
3D printed biomedical devices and their applications: A review on state-of-the-art technologies, existing challenges, and future perspectives.
Journal of the mechanical behavior of biomedical materials
May 27, 2023
3D printing, also known as Additive manufacturing (AM), has emerged as a transformative technology with applications across various industries, including the medical sector. This review paper provides an overview of the current status of AM technolog...
Fastcalculation in LDR brachytherapy using deep learning methods.
Physics in medicine and biology
May 23, 2023
The Monte Carlo (MC) method provides a complete solution to the tissue heterogeneity effects in low-energy low-dose rate (LDR) brachytherapy. However, long computation times limit the clinical implementation of MC-based treatment planning solutions. ...
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