AIMC Topic: Bone Plates
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A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.
BMC musculoskeletal disorders
Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Treatment Outcome
Follow-Up Studies
Fracture Fixation, Internal
Adult
Male
Middle Aged
Range of Motion, Articular
Bone Plates
Radius Fractures
Intra-Articular Fractures
Cluster Analysis
Hand Strength
Radiography
Humans
Machine Learning
Retrospective Studies
Aged, 80 and over
Young Adult
Female
Aged
Wrist Joint
Wrist Fractures
Optimization and control of robotic vertebral plate grinding: Predictive modeling, parameter optimization, and fuzzy control strategies for minimizing bone damage in laminectomy procedures.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Nov 19, 2024
During the robotic grinding of vertebral plates in high-risk laminectomy procedures, programmed operations may inadvertently induce force or temperature-related damage to the bone tissue. Therefore, it is imperative to explore a control methodology a...
Evaluation of aesthetic outcomes of mandibular reconstruction using artificial intelligence.
Head & neck
May 3, 2024
BACKGROUND: Although vascularized bone graft (VBG) transfer is the current standard for mandibular reconstruction, reconstruction with a mandibular reconstruction plate (MRP) and with a soft-tissue flap (STF) alone remain crucial options for patients...
Teardrop Alignment Changes After Volar Locking Plate Fixation of Distal Radius Fractures With Volar Ulnar Fragments.
Hand (New York, N.Y.)
Mar 4, 2024
BACKGROUND: We assessed factors associated with change in radiographic teardrop angle following volar locking plate (VLP) fixation of volarly displaced intra-articular distal radius fractures with volar ulnar fragments (VUF) within the ICUC database....
Automatic Segmentation and Radiologic Measurement of Distal Radius Fractures Using Deep Learning.
Clinics in orthopedic surgery
Jan 15, 2024
BACKGROUND: Recently, deep learning techniques have been used in medical imaging studies. We present an algorithm that measures radiologic parameters of distal radius fractures using a deep learning technique and compares the predicted parameters wit...
A novel technology integrating robotics and 3D printing for closed reduction of tibia shaft fracture with MIPPO:A proof-of-concept study.
Medical engineering & physics
Dec 7, 2023
Less invasive fixation techniques, such as intramedullary nailing (IMN) and minimally invasive percutaneous plate osteosynthesis (MIPPO), are now the preferred choices for treating tibia shaft fractures (TSFs). However, malreduction and radiation exp...
Applying artificial intelligence algorithm in the design of a guide plate for mandibular angle ostectomy.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
May 26, 2023
PURPOSE: Surgical guide plates can improve the accuracy of surgery, although their design process is complex and time-consuming. This study aimed to use artificial intelligence (AI) to design standardized mandibular angle ostectomy guide plates and r...
A mechanics-based approach to realize high-force capacity electroadhesives for robots.
Science robotics
Nov 30, 2022
Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic systems, but achieving large changes in stiffness and adhesive forces in real time is an ongoing challenge. Electroadhesive clutches can rapidly adhere h...
Space Target Classification Improvement by Generating Micro-Doppler Signatures Considering Incident Angle.
Sensors (Basel, Switzerland)
Feb 20, 2022
Classifying space targets from debris is critical for radar resource management as well as rapid response during the mid-course phase of space target flight. Due to advances in deep learning techniques, various approaches have been studied to classif...
Dynamic bone recognition for robotic vertebral plate cutting via unit energy consumption and SVM optimized by PSO.
Scientific reports
May 11, 2025
Current orthopedic robots lack the ability to dynamically sense or accurately recognize bone layers during vertebral plate decompression surgery, limiting their ability to adjust actions in real time as skilled surgeons do. This study aims to improve...
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