Orthopedics

Robotic-assisted versus conventional total knee arthroplasty for treating osteoarthritis.

This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the benefits and harms of robotic-assisted versus conventional total knee arthroplasty for the treatment of osteoarthritis.

Association of wearable-sensor derived gait measures with cartilage damage over 2 years in the Multicenter Osteoarthritis Study.

PURPOSE: Gait affects knee loading. Modifying gait could reduce load and protect against cartilage loss. Our objective is to look for modifiable gait parameters and determine their relation with worsening cartilage damage. METHODS: We studied participants from the Multicenter Osteoarthritis Study (MOST) age 45-90 with, or at risk for, knee osteoarthritis (OA). Gait assessment used inertial measure...

Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives.

Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral and axial joints and entheses throughout the body. ...

Impact of multimodal education management on postoperative rehabilitation after total knee arthroplasty: A machine learning-based prediction model study.

This study aimed to evaluate the impact of multimodal education management using illustrated pathway with video education (IPVE) on rehabilitation qua...

A Scoping Review of Machine Learning Approaches for Predicting Lower Extremity Joint Contact Loads: Current Trends, Common Pitfalls and Future Directions.

Human gait analysis quantifies locomotion and assesses gait performance, particularly for patients with musculoskeletal disorders. While instrumented ...

Can Artificial Intelligence Align with Evidence? Performance of ChatGPT-4o in Knee Osteoarthritis Surgical Guidelines.

Artificial intelligence large language models (LLMs) such as ChatGPT are increasingly used in clinical settings, yet their reliability in reproducing ...

Paraspinal muscle MRI radiomics outperform disc radiomics for predicting poor disability improvement after L4/5 single-level lumbar surgery.

Evaluating the impact of artificial intelligence tools on the detection of chest injuries from medical imaging: A systematic review and meta-analysis.

BACKGROUND: There has been a growing interest in the clinical application of artificial intelligence (AI) tools in medical imaging to aid diagnosis. T...

Computational discovery and prioritization of ribose-5-phosphate isomerase A as a mitochondrial target for reversing senescence in mesenchymal stem cells.

Age-related osteoporosis is increasingly recognized as a disease of stem cell dysfunction, hallmarked by the skewed lineage commitment of mesenchymal ...

Spatiotemporal Remodeling of Bone as a Reversibly Adaptive Biological Material in Djungarian Hamsters under Regulated Photoperiod Conditions.

Bone loss in humans is typically progressive and difficult to reverse, posing challenges for both pharmacological therapy and the long-term performanc...

Machine Learning for Predicting Venous Thromboembolism After Joint Arthroplasty: Systematic Review of Clinical Applicability and Model Performance.

BACKGROUND: There is increasing research on machine learning in predicting venous thromboembolism after joint arthroplasty, but the quality and clinic...

Ultrasonography-Based Patellar Tendon Area Measurement: Comparability of Automated vs. Manual Segmentation.

While several openly available tools for the automatic segmentation of the anatomical cross-sectional area (ACSA) of muscle exist, there is no open-so...

Multiscale characterization of micro fracture connectivity and gas migration in volcanic reservoirs using µCT and hybrid learning segmentation.

Multimodal MRI reveals hypothalamic structural-functional alterations associated with bone mineral density loss in postmenopausal women.

Emerging evidence implicates central nervous system dysregulation in the pathogenesis of osteoporosis. However, the role of hypothalamic subregions - ...

Pullulan-based semi-interpenetrating network hydrogel sensor for artificial intelligence-driven pressure recognition.

Hydrogel sensors have gained significant attention in recent years due to their ability to detect various stimuli. This work first employs a "one-pot ...

YORU: Animal behavior detection with object-based approach for real-time closed-loop feedback.

The advent of deep learning methodologies for animal behavior analysis has revolutionized neuroethology studies. However, the analysis of social behav...

Comparative analysis of supervised machine learning models for predicting surgeon fixation choice in total knee arthroplasty.

The Robot Of Theseus: a modular robotic testbed for legged locomotion.

Robotic models of biological systems are useful for independently varying specific features to determine their contribution to whole-system behavior, ...

Clinical impact of adopting an AI-driven opportunistic bone health screening software using routine X-ray.

OBJECTIVES: To evaluate the clinical impact of an artificial intelligence device, Rho, that opportunistically screens X-rays for low bone mineral dens...

Artificial intelligence on opportunistic computed tomography for predicting vertebral fracture risk in women undergoing estrogen deprivation therapy for breast cancer.

PURPOSE: Fracture risk prediction in women exposed to hormone deprivation therapies (HDTs) for breast cancer is challenging, since bone mineral densit...