AIMC Topic: Lower Extremity
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Establishing a clinical prediction model for diabetic foot ulcers in type 2 diabetic patients with lower extremity arteriosclerotic occlusion using machine learning.
Scientific reports
Apr 5, 2025
The burden of diabetic foot ulcers (DFU) is exacerbated in diabetic patients with concomitant arteriosclerotic occlusion disease (ASO) in the lower extremities, who experience more severe symptoms and poorer prognoses. The study aims to develop a pre...
An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.
Scientific reports
Apr 2, 2025
Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of rehabilitation professionals leads to many patients with severe disabilities. Traditional rehabilitation methods can be time-consuming and hard to measu...
Can we use lower extremity joint moments predicted by the artificial intelligence model during walking in patients with cerebral palsy in the clinical gait analysis?
PloS one
Apr 1, 2025
Several studies have highlighted the advantages of employing artificial intelligence (AI) models in gait analysis. However, the credibility and practicality of integrating these models into clinical gait routines remain uncertain. This study critical...
The effect of lower limb rehabilitation robot on lower limb -motor function in stroke patients: a systematic review and meta-analysis.
Systematic reviews
Mar 26, 2025
BACKGROUND: The assessment and enhancement of lower limb motor function in hemiplegic patients is of paramount importance. The emergence of lower limb rehabilitation robots offers a promising avenue for improving motor function in these patients, add...
A Two stage deep learning network for automated femoral segmentation in bilateral lower limb CT scans.
Scientific reports
Mar 17, 2025
This study presents the development of a deep learning-based two-stage network designed for the efficient and precise segmentation of the femur in full lower limb CT images. The proposed network incorporates a dual-phase approach: rapid delineation o...
Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.
Annals of vascular surgery
Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Angioplasty
Contrast Media
Lower Extremity
Peripheral Arterial Disease
Predictive Value of Tests
Reproducibility of Results
Risk Factors
Aged
Male
Middle Aged
Risk Assessment
Treatment Outcome
Glomerular Filtration Rate
Decision Support Techniques
Retrospective Studies
Acute Kidney Injury
Female
Humans
Machine Learning
Validity of recurrent neural networks to predict pedal forces and lower limb kinetics in cycling.
Journal of biomechanics
Mar 8, 2025
Dynamic variables contribute to understand the mechanics of pedalling and can assist with injury prevention. Measuring pedal forces and joint moments and powers has a high cost, which can be mitigated by using trained artificial neural networks (ANN)...
Rehabilitation training robot using mirror therapy for the upper and lower limb after stroke: a prospective cohort study.
Journal of neuroengineering and rehabilitation
Mar 7, 2025
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventional rehabilitation training on stroke survivors by monitoring alterations in brain network of stroke...
Mechanical Structure Design and Motion Simulation Analysis of a Lower Limb Exoskeleton Rehabilitation Robot Based on Human-Machine Integration.
Sensors (Basel, Switzerland)
Mar 6, 2025
Population aging is an inevitable trend in contemporary society, and the application of technologies such as human-machine interaction, assistive healthcare, and robotics in daily service sectors continues to increase. The lower limb exoskeleton reha...
Integrated Lower Limb Robotic Orthosis with Embedded Highly Oriented Electrospinning Sensors by Fuzzy Logic-Based Gait Phase Detection and Motion Control.
Sensors (Basel, Switzerland)
Mar 5, 2025
This study introduces an integrated lower limb robotic orthosis with near-field electrospinning (NFES) piezoelectric sensors and a fuzzy logic-based gait phase detection system to enhance mobility assistance and rehabilitation. The exoskeleton incorp...
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