Orthopedics

Automated diagnostic of cervical spondylosis on multimodal medical images with a multi-task deep learning model.

Cervical spondylosis is one of the most common degenerative diseases, seriously affecting life quality. Unlike diseases with explicit lesions like cancer, hydroncus, or fracture, the degeneration of the cervical spine cannot be explicitly detected from the appearance of medical images, requiring extensive experience of doctors to interpret subtle clues. However, the extremely high incidence of cer...

A punishment neural network-based acceleration-level joint drift-free scheme for solving constrained motion planning problem of redundant robotic manipulators.

To solve the repetitive motion problem of redundant robotic manipulators, a punishment neural network-based acceleration-level joint drift-free (PNN-ALJDF) scheme is designed. Traditional joint physical limits constraints are fixed and lack margin. Thus, a novel joint acceleration time-varying constraint is considered in the PNN-ALJDF scheme to avoid the joint state exceeding the physical limits. ...

Association of urinary heavy metals with osteoporosis in US adults using interpretable machine learning.

BACKGROUND: Exposure to heavy metals in the environment has always been the focus of public concern. More and more evidence suggests that heavy metal ...

Creation of the Sonntag Virtual Reality Laboratory: A Framework for Innovation in Neurosurgical Training and Global Education.

BACKGROUND AND OBJECTIVES: Neurosurgical education requires innovative approaches to meet the demands of an evolving field and adequately train the ne...

A new model based on multi-axis vision transformer for chondromalacia patella diagnosis in magnetic resonance scans.

A degenerative disease of the patellofemoral joint cartilage, chondromalacia patella (CMP) often results in anterior knee discomfort and functional di...

Clinical Profile of Neurosurgical Consultations from the Emergency Department : A Retrospective Analysis.

OBJECTIVE: This study aimed to retrospectively analyze consultations requested from the emergency departments (EDs) to the neurosurgery (NS) departmen...

SPD-Net: A semantic partitioned transformer with dynamic graph network for improved skeleton-based gait recognition.

Gait recognition has gained prominence as a biometric modality owing to its unobtrusive and non-invasive nature. Existing methods primarily rely on si...

A Character-level Convolutional Recurrent Interaction Network for joint traditional Chinese medicine clinical named entity recognition and relation extraction.

The electronic medical record (EMR) of traditional Chinese medicine (TCM) is a crucial document for recording patients' clinical data, structured arou...

Association between red cell distribution width-albumin ratio and osteoarthritis in middle-aged and older adults: Analysis of NHANES data (1999-2018).

OBJECTIVE: This study aimed to investigate the association between the Red blood cell distribution width-to-albumin ratio (RAR) and osteoarthritis (OA...

Fracture risk scores using output from an opportunistic screen of low bone density from conventional X-ray.

Fracture risk is commonly assessed by FRAX, a tool that estimates 10-yr risk for major osteoporotic fracture (MOF) and hip fracture. FRAX scores are o...

Spine age derived from DXA vertebral fracture assessment images predicts incident fractures and mortality: the Manitoba Bone Mineral Density Registry.

Biological age may better predict health outcomes than chronological age by capturing individual heterogeneity in aging. We investigated whether accel...

Stiffness enhanced reconfigurable soft hand for versatile stable grasps and in-hand manipulation.

Traditional soft robotic grippers often lack the structural rigidity required to maintain stable poses under external forces, as well as the fine cont...

Automated Detection of Cervical Spinal Cord Compression on MRI Using YOLO11 Deep Learning Architecture: A Two-Center External Validation Study.

STUDY DESIGN: Retrospective two-center external validation study conducted at two medical centers, collecting cervical spine MRI data from patients su...

Imaging for Scapholunate Ligament Injuries: Techniques, Challenges, and Innovations.

Scapholunate (SL) ligament injuries are a common cause of wrist pain and instability but can be diagnostically challenging. Standard radiographs, ultr...

DBFANet: a dual-branch feature alignment network for automated detection of breast cancer bone metastasis.

Bone scan imaging for the detection of bone metastasis of breast cancer has been widely adopted; however, noise, anatomy superimposition, and small si...

TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG.

Auditory-evoked EEG signals contain rich temporal and cognitive features that reflect both the identity of individuals and their neural response to ex...

Exploring the proprioceptive potential of joint receptors using a biomimetic robotic joint.

In neuroscience, joint receptors have traditionally been viewed as limit detectors, providing positional information only at extreme joint angles, whi...

ChatGPT-4o Mini Fabricates and Miscites Evidence for American Academy of Orthopaedic Surgeons Hip Fracture Clinical Practice Guidelines.

BACKGROUND: Generative artificial intelligence (AI) large language model (LLM) chatbots, such as ChatGPT, are increasingly used to answer medical ques...

Machine Learning-based Radiomic Model for Early Diagnosis of Male Urethral Injury in Pelvic Fracture Patients.

BACKGROUND AND OBJECTIVE: Pelvic fracture urethral injury (PFUI) is serious and requires prompt diagnosis. Traditional diagnostic methods, which rely ...

Machine learning-based classification of pathological shoulder motion using phase-specific kinematic features.

This study investigated an upper-extremity exoskeleton for machine learning-based discrimination of orthopedic shoulder pathology and identification o...