Orthopedics

Defining Clinically Meaningful Subgroups in Patients Undergoing Arthroscopic Rotator Cuff Repair Using Unsupervised Machine Learning.

BACKGROUND: Outcomes after arthroscopic rotator cuff repair (RCR) are frequently measured through clinically significant outcomes (CSOs) such as the minimal clinically important difference, the substantial clinical benefit, and the Patient Acceptable Symptom State. Global achievement of CSOs is challenging to predict.

A Coarse-to-Fine Multi-Hypothesis Method for Ambiguous Hand Pose Estimation.

In hand pose estimation, challenges such as occlusion often result in partial observation of a human hand, making it difficult to uniquely determine the hand pose, thus leading to ambiguity in certain hand regions. Heatmap-based methods may struggle with locating ambiguous joints and end up violating physiological constraints in their predictions. Parametric model based single-solution methods oft...

TCFNet: Bidirectional face-bone transformation via a Transformer-based coarse-to-fine point movement network.

Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where accurately simulating face-bone shape transformati...

Melioidosis molecular diagnostics: An update.

Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including abscesses, pneumonia, septic shock, bacteraemia, os...

Investigating the potential risk of cadmium exposure on Osteoporosis: An integrated multi-omics approach.

Osteoporosis (OP) is a chronic progressive bone disease, and its occurrence and development under cadmium exposure remain unclear. This study aims to ...

Retinal Vessel Traits and Age-Related Eye Disease in the Canadian Longitudinal Study on Aging.

BACKGROUND: To cross-sectionally and longitudinally examine whether retinal vessel traits are associated with glaucoma-related outcomes (glaucoma, cup...

Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis.

BACKGROUND: Chordomas are primary bone lesions originating from embryonic notochord remnants, most commonly developing along the skull base and spine....

Lumbar spinal stenosis: current concept of management.

Lumbar spinal stenosis (LSS) is a common degenerative spinal condition where spinal canal narrowing causes symptoms such as neurogenic claudication, r...

Current Concepts on Imaging and Artificial Intelligence of Osteosarcopenia in the Aging Spine - A Review for Spinal Surgeons by the SRS Adult Spinal Deformity Task Force on Senescence.

STUDY DESIGN: Narrative review.

In vitro processes alter the embryonic disc epigenome and transcriptome in the pre-implantation elongated bovine embryo†.

The objective was to quantify the effect of the in vitro procedures on the epigenome and transcriptome of the embryonic disc (ED) and extra-embryonic ...

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

UNLABELLED: Applying HR-pQCT to image the knee necessitates the development and validation of novel image analysis workflows. Here, we present and val...

Acoustic monitoring for tropical insect conservation.

Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health ...

Artificial intelligence-based quantitative bone marrow pathology analysis for myeloproliferative neoplasms.

The evaluation of bone marrow pathology is essential for diagnosing and classifying myeloproliferative neoplasms (MPNs). However, morphological assess...

DeepHeme, a high-performance, generalizable deep ensemble for bone marrow morphometry and hematologic diagnosis.

Cytomorphological analysis of the bone marrow aspirate (BMA) is pivotal for the diagnostic workup of a broad range of hematological disorders. However...

Surgery for Lumbar Disc Herniation: Surgeon's Clinical Judgment Versus Actual Improvement in Patient Reported Outcomes.

Study DesignLongitudinal Cohort.ObjectivesTo determine if a surgeon's clinical judgment can predict clinical outcomes after surgery for LDH.MethodsSur...

Arthroscopy-validated diagnostic performance of sub-5-min deep learning super-resolution 3T knee MRI in children and adolescents.

OBJECTIVE: This study aims to determine the diagnostic performance of sub-5-min combined sixfold parallel imaging (PIx3)-simultaneous multislice (SMSx...

Machine learning is changing osteoporosis detection: an integrative review.

Machine learning drives osteoporosis detection and screening with higher clinical accuracy and accessibility than traditional osteoporosis screening t...

Microgel double-crosslinked hydrogel with excellent mechanical properties for flexible electronics.

Hydrogels are limited in practical applications due to insufficient mechanical properties. While microgels (MGs) and active MGs enhance hydrogel tough...

Prediction of Bone Formation Rate of Artificial Bone With Machine Learning Models Considering the Variation of Experimental Results.

The proportion of older people in the world's total population is expected to increase. Bone diseases are more prevalent in older people; therefore, t...

Contribution of Labrum and Cartilage to Joint Surface in Different Hip Deformities: An Automatic Deep Learning-Based 3-Dimensional Magnetic Resonance Imaging Analysis.

BACKGROUND: Multiple 2-dimensional magnetic resonance imaging (MRI) studies have indicated that the size of the labrum adjusts in response to altered ...