Orthopedics

Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data.

BACKGROUND: In 2022, over 18,000 patients aged ≥70 years were hospitalized in the Netherlands for a hip fracture, with 50% requiring geriatric rehabilitation after surgery. Increasing geriatric rehabilitation patient numbers, staff shortages, and rising pressure on health care budgets make adequate care challenging. To make geriatric rehabilitation more future-proof, a stronger focus on home-based...

Graph clustering and prediction models for DISC-based personality and competency analysis.

Machine learning-based prediction and quantification of OCD surgery and pedigree effects on racehorse performance.

Osteochondritis dissecans (OCD) is a common developmental orthopedic condition in Thoroughbred racehorses and although arthroscopic surgery is widely ...

Validity of a novel web application for measuring active range of motion and its reliability as a self-measurement method in telerehabilitation.

PURPOSE: As a result of the emergence of Artificial Intelligence (AI), new applications for measuring active range of motion (AROM) in telerehabilitat...

CT-derived sarcopenia and myosteatosis predict treatment escalation in hospitalized patients with inflammatory Bowel disease.

BACKGROUND: Sarcopenia and myosteatosis reflect muscle quantity and quality and are linked to adverse outcomes in chronic diseases. Their role in pred...

Towards three-dimensional discrete fracture network modeling using integrated multidimensional outcrop data.

Analogue outcrops can be a source of fracture information beyond the resolution of seismic and well profiles, providing geometric, topological, and ge...

Large language models with image processing in automated Cobb angle.

BACKGROUND: The degree of scoliosis is assessed through the Cobb angle, which quantifies severity and is measured by clinicians on radiographs. With t...

Deciphering the air pollution-osteoarthritis relationship: insights from network toxicology, integrated machine learning, and molecular docking.

Mounting evidence suggests an association between air pollution and the pathogenesis of osteoarthritis (OA), yet the underlying molecular mechanisms r...

PM10 Impairs CD56dim NK Cell Cytotoxicity via FNBP1 Suppression to Exacerbate Rheumatoid Arthritis: Insights from Multimodal Multi-Omics.

Air pollution (AP), intensified by industrialization and urbanization, is a key environmental factor linked to rheumatoid arthritis (RA). However, its...

Combining multimodal fatigue fracture surface images for analysis with a CNN.

This work uses three different modalities, namely SEM, BSE and scanning white light interference (SWLI) to image fatigue fracture surfaces of Ti-6Al-4...

Artificial intelligence differentiates prefibrotic primary myelofibrosis with thrombocytosis from essential thrombocythemia using digitized bone marrow biopsy images.

Prefibrotic primary myelofibrosis (prePMF) and essential thrombocythemia (ET) are distinct myeloproliferative neoplasms (MPNs) with overlapping clinic...

Driver gene mutations and clinical features predict bone metastasis risk in NSCLC: a logistic regression model.

Bone metastasis affects approximately 40% of patients with non-small cell lung cancer (NSCLC), significantly impacting patient survival and prognosis....

Interpretable spatiotemporal machine learning reveals hydrogeological and climatic controls on groundwater heavy metal transport in acid mine drainage.

Acid mine drainage (AMD) generated by sulfide-bearing waste rock dumps poses persistent risks to groundwater through acidic leachate and heavy-metal m...

Dynamic changes to the tibiofemoral joint line with increasing osteoarthritis severity and its relationship to constitutional alignment : a radiological analysis of 3,320 knees.

AIMS: Changes in both native and dynamic joint line obliquity may influence the pathogenesis of osteoarthritis (OA) and subsequent development of coro...

Clinical Integration of 3-Dimensional Printing in Shoulder Surgery: Current Applications, Evidence, and Future Directions: A Narrative Review.

» Three-dimensional printing improves shoulder surgery by creating precise anatomical models for better planning and visualization.» Patient-specific ...

Advancements in ex vivo bone biomechanics: multimodal technologies and their integration with artificial intelligence.

Bone biomechanics is essential for understanding how bone structure, composition, and mechanical function interact in healthy and diseased states. Con...

Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning.

PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iERM) using interpretable machine learning models. D...

Predicting Visual Outcomes in Congenital Posterior Lens Opacities: A Deep Learning Model Using Ultra-Widefield Fundus Images.

PURPOSE: To develop and validate a deep learning (DL) model for the automatic segmentation of lens opacity projected shadow (LOPS) on ultra-widefield ...

Medical large language models and systems in the clinical application of spinal diseases: Current status, challenges, and future prospects.

Large Language Models (LLMs), represented by the Generative Pretrained Transformer (GPT), are profoundly transforming the healthcare sector. Spine med...

An Artificial Intelligence-Selected Multifunctional Oligopeptide Coated Biphasic Calcium Phosphate (BCP) Scaffold Promotes Bone Defect Repair.

Bone defects caused by inflammation, trauma, tumor resection, or tooth extraction present persistent clinical challenges, primarily because of the lim...