AIMC Topic: Hand Joints
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Evaluation of the Rennes Universal Measurement Method (RUMM), an artificial intelligence application for hand joint angle assessment.
The Journal of hand surgery, European volume
Jun 11, 2024
Although goniometric measurement is considered the gold standard for the measurement of digital range of motion, visual estimation is often employed due to its simplicity despite being inconsistent with recommended guidelines. We evaluated the Rennes...
Detecting hand joint ankylosis and subluxation in radiographic images using deep learning: A step in the development of an automatic radiographic scoring system for joint destruction.
PloS one
Feb 13, 2023
We propose a wrist joint subluxation/ankylosis classification model for an automatic radiographic scoring system for X-ray images. In managing rheumatoid arthritis, the evaluation of joint destruction is important. The modified total Sharp score (mTS...
Integrated linkage-driven dexterous anthropomorphic robotic hand.
Nature communications
Dec 14, 2021
Robotic hands perform several amazing functions similar to the human hands, thereby offering high flexibility in terms of the tasks performed. However, developing integrated hands without additional actuation parts while maintaining important functio...
Effects of Neurodynamic Mobilizations on Pain Hypersensitivity in Patients With Hand Osteoarthritis Compared to Robotic Assisted Mobilization: A Randomized Controlled Trial.
Arthritis care & research
Jan 3, 2021
OBJECTIVE: To evaluate the effectiveness of the neurodynamic mobilization techniques compared with passive robotic physiologic movement in patients with hand osteoarthritis (OA).
From human hand joints to continuum robot: how articular surface morphology shapes flexibility and stability in template-based designs.
Bioinspiration & biomimetics
May 27, 2025
The design of continuum robots often involves a dilemma between flexibility and stiffness, where increased flexibility may reduce stiffness and control precision. The human hand achieves both power grasp and precision grasp by leveraging different jo...
Deep learning enables automatic detection of joint damage progression in rheumatoid arthritis-model development and external validation.
Rheumatology (Oxford, England)
Mar 1, 2025
OBJECTIVES: Although deep learning has demonstrated substantial potential in automatic quantification of joint damage in RA, evidence for detecting longitudinal changes at an individual patient level is lacking. Here, we introduce and externally vali...
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