Orthopedics

Evaluation of an Artificial Intelligence Language Model for Generating Informed Consent Forms in Oral and Maxillofacial Surgery: A QUEST Framework Analysis.

BACKGROUND: Informed consent is a core ethical and legal requirement in oral and maxillofacial surgery (OMFS). Traditional consent documents often lack adequate readability and comprehensive coverage of ethical and safety elements. Large language models (LLMs) may assist in drafting consent forms; however, their alignment with clinician expectations in OMFS remains insufficiently studied. METHODS:...

Machine learning model to estimate momentary status of activities of daily living in people with early-stage Parkinson's disease: an experimental study in home setting.

PURPOSE: The purpose of this study was to develop a model that estimates the momentary status of activities of daily living (ADLs) in people with Parkinson's disease (PwPD) in the early stages using data measured in real home settings of PwPD. MATERIALS AND METHODS: We conducted an experiment to measure kinematic data as PwPD performed ADLs in their home environment. We selected five instrumental ...

MRI-based deep learning radiomics model for automated classification of disc degeneration in the lumbar spine.

Disc degeneration in the lumbar spine is a major cause of low back pain (LBP). The accurate grading of disc degeneration on magnetic resonance imaging...

AI-assisted preoperative planning improves component sizing accuracy in Oxford unicompartmental knee arthroplasty: a retrospective cohort study with 24-month follow-up.

BACKGROUND: Accurate implant sizing is critical for clinical outcomes in Oxford unicompartmental knee arthroplasty (UKA), yet reliable preoperative pl...

Proteomic profiling of bone for the estimation of post-mortem interval and post-mortem submersion interval: a systematic review.

Accurate estimation of the Post-Mortem Interval (PMI) and Post-Mortem Submersion Interval (PMSI) remains a persistent challenge in forensic science, e...

Exosomes in bone health and disease: cellular crosstalk, systemic signaling, and AI-driven advances in regenerative therapy.

Exosomes have emerged as critical mediators of intercellular and inter-organ communication in bone biology. Secreted by bone-resident cells such as os...

A computational framework for patient-specific breast modelling with anatomically informed Cooper's ligament networks.

BACKGROUND: Cooper's ligaments tether the dermis to the pectoral fascia and play a key role in breast suspension, but they are still poorly represente...

Machine learning identifies traffic-related pollutant mixtures as potential factors suggestive of association with osteoporosis in a cross-sectional analysis of NHANES.

The combined effect of traffic-related pollutant mixtures on osteoporosis (OP) remains unclear. This study aimed to evaluate such associations using m...

From Technological Innovation to Clinical Translation: Progress and Challenges in 3D Bioprinting for the Development of Breast Cancer Bone Metastasis Models.

The construction of 3D in vitro tumor models centered on bioprinting technology represents one of the most anticipated interdisciplinary innovations a...

Integration of network pharmacology, deep learning, and molecular biology reveals the efficacy of Citrus aurantium L. var. amara Engl. blossom extract in ameliorating diabetic osteoporosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Diabetic osteoporosis (DOP) is a type of metabolic bone disease. Blossom of Citrus aurantium L. var. amara Engl. (CAVA...

Advances in Clinical Imaging and AI Integration for Dry Eye Diagnosis.

Dry eye disease (DED) is a prevalent multifactorial chronic disorder of the ocular surface, characterized by a loss of tear film homeostasis and accom...

Network Pharmacological Analysis of Lentinan in Regulating Intervertebral Disc Degeneration: Combined with Machine Learning-Based Screening and Molecular Dynamics Validation.

Lentinan (LNT) is a polysaccharide with antioxidant and anti-inflammatory properties; however, its link to intervertebral disc degeneration (IVDD) rem...

Compliance with the CONSORT AI Extension in Orthopaedic Randomized Controlled Trials.

BACKGROUND: The utilization of artificial intelligence (AI), such as machine learning, in health care has risen exponentially, underscoring the necess...

Utilization of artificial intelligence-based writing assistance in contemporary spine literature.

OBJECTIVE: With the advent of artificial intelligence (AI), scientific research and writing has benefitted from large language models to generate hypo...

Interlayer-aware postoperative facial appearance prediction in orthognathic surgery with bio-geometric guidance.

OBJECTIVE: Accurate prediction of postoperative facial appearance is essential for orthognathic surgical planning, yet remains challenging due to the ...

A hybrid AI vision model for single-camera tracking of rehabilitation exercises: a proof of concept in clinical settings.

Accurate measurement of range of motion (ROM) during physical rehabilitation is traditionally achieved using goniometers or multi-camera, marker-based...

O²RDL-net for joint risk classification and delay forecasting in logistics systems using interaction amplified deep.

Transportation and logistics systems face frequent delays and operational risks due to congestion, human factors, and rapidly changing conditions. Pre...

Optimizing preoperative planning for total hip arthroplasty using random forest models to predict stem size and compatibility.

BACKGROUND: Preoperative planning is essential for optimal outcomes post-total hip arthroplasty (THA). Appropriate stem size and compatibility with fe...

Markerless motion capture methodologies in biomechanics: From 2D images to 3D joint angles, a narrative review.

BACKGROUND: Video-based markerless motion capture is rapidly emerging as a valuable tool in biomechanics research, particularly within sports science,...

Machine learning-driven multi-objective optimization of Gyroid bioglass scaffolds for site-specific biomechanical adaptation.

The clinical translation of scaffold-driven bone regeneration is hindered by an inherent topological paradox between mechanical integrity and mass tra...