Orthopedics

Corrigendum to "Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision-Making Using Magnetic Resonance Imagings: A Retrospective Study" [World Neurosurgery, Volume 195, March 2025, 123728].

Landmark-based deep learning for radiographic screening for developmental dysplasia of the hip in infants: Development and external evaluation with IHDI-guided triage.

BACKGROUND: In Japan, secondary screening for developmental hip dysplasia has expanded. However, the capacity of screening programs has outpaced the availability of ultrasonography and the number of clinicians who perform and interpret examinations outside tertiary centers. Plain radiography is widely accessible; however, interpreting images in infants can be challenging. This study developed and ...

Where New and Old Technologies Converge: In Search of a Better Way to Predict Pathologic Fracture: Commentary on an article by Shinn Kim, MD, et al.: "Deep Learning Model for Differentiating Between Neoplastic Pathologic Fracture and Nonpathologic Fracture Using Hip Radiographs".

Artificial Intelligence in ACL Reconstruction: From Personalized Planning to Precise Execution: Commentary on an article by Haomiao Yu, MD, et al.: "AI-Driven CT-MRI Image Fusion and Segmentation for Automatic Preoperative Planning of ACL Reconstruction. Development and Application".

Systemic immunometabolic profiling classifies cisplatin sensitivity states using interpretable machine learning.

Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma, yet practical systemic diagnostics for cisplatin...

The feasibility and accuracy of real-time intra-operative confocal tissue diagnosis in brain and spine cancer surgery.

Real-time intra-operative brain tumour tissue analysis can reduce turnaround times and enable repeated sampling, enhancing diagnostic accuracy and gui...

Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis.

PURPOSE: This study aims to test whether week-long wrist accelerometry combined with deep learning can (i) distinguish healthy individuals from people...

Novel algorithm for knee localization and diagnosis and grading of knee osteoarthritis based on a priori information: data from OAI.

PURPOSE: To develop and evaluate a deep learning-based method for fully automatic segmentation of the knee joint and to diagnose and classify knee ost...

An automated vertebral heart scale measurement tool based on deep learning: Facilitating screening for prevention of canine cardiomegaly.

Automatically measuring the Vertebral Heart Scale (VHS) from canine thoracic X-ray images is an effective approach for the early screening and prevent...

Exploring estrogen synthesis and metabolism related markers and immune dynamics in osteoporosis-insights from single-cell RNA sequencing and Mendelian randomization.

BACKGROUND: Osteoporosis (OP) is characterized by decreased bone mineral density and an increased fracture risk, often due to declining sex hormone le...

Deep learning cascade networks for segmentation of fluorine-18 sodium fluoride positron emission tomography scans of equine metacarpo- and metatarsophalangeal joints outperform atlas-based method.

OBJECTIVE: To create a labeled dataset and evaluate a convolutional neural network (CNN) for segmentation of fluorine-18 sodium fluoride PET scans of ...

Mammalian AHR2 loss: Evolutionary patterns, mechanisms, and relevance of biological factors.

Environmental contamination by dioxins and polycyclic aromatic hydrocarbons threatens wildlife health, yet the molecular basis of interspecies variati...

Can ChatGPT Teach Tendon Repair Suturing? A Comparison With Video Instruction in a Simulation-Based Environment: A Pilot Study.

OBJECTIVE: To compare the effectiveness of ChatGPT-guided instruction versus video-based instruction for teaching the Modified Kessler tendon repair t...

Development and comparison of machine learning models for predicting postoperative ileus after posterior thoracolumbar fracture surgery.

Temporomandibular Disorders Diagnosis: Current Challenges and the Promising Role of Artificial Intelligence.

Temporomandibular disorders (TMDs) are a group of musculoskeletal and joint-related conditions affecting the temporomandibular joint (TMJ), masticator...

Deep learning inversion of water content and relaxation time in water-bearing fracture zones based on surface NMR data.

AI-assisted video analysis of the Trendelenburg test: a feasibility study.

The Trendelenburg test is widely used to assess hip abductor function, but interpretation is typically subjective and only moderately reliable. Compen...

Deep Learning-Based Automated Diagnostic Charting on Panoramic Radiography: Comparison of YOLOv11 and YOLOv12.

Automated diagnostic charting on panoramic radiographs is essential for optimizing clinical workflows and reducing diagnostic variability. This study ...

Utilisation of intramuscular and intermuscular fat to develop a new skeletal muscle grading score which can predict treatment outcomes for locally advanced rectal cancer.

BACKGROUND: Sarcopenia has been widely studied in rectal cancer with increasing evidence to suggest that other body composition parameters, in particu...

Neural network surrogates for musculoskeletal models: An application to implant alignment in total knee arthroplasty.

Total knee arthroplasty (TKA) is an effective treatment for end-stage knee osteoarthritis (OA). However, dissatisfaction persists in one in five patie...