Orthopedics

Resolving the multiscale design trade-off in bone tissue engineering: From generative design to digital twins.

The clinical translation of bone tissue engineering is constrained by a severe multiscale design trade-off: the requirement for load-bearing mechanical strength competes directly with the need for vascular-permissive porosity. Conventional approaches address scaffold geometry, material formulation, and fabrication in a sequential, decoupled manner and therefore fail to navigate this multi-objectiv...

Performance of DRNNAGE for macroscopic age-at-death estimation in contemporary Brazilian identified skeletons.

In global forensic literature, methods for estimating age in young individuals are more commonly addressed than those applicable to adults. This trend is also evident in Brazil. This study aimed to evaluate the performance of the DRNNAGE software for age estimation in Brazilian identified human skeletons. The sample consisted of 400 skeletons (200 females and 200 males), aged 20 years and older, f...

Hybrid diagnostic framework for bone cancer detection using deep learning and radiomics analysis.

Currently, bone cancer remains a big challenge in healthcare, early and accurate diagnosis is therefore key to achieving the required treatment outcom...

Comparison of multistage and single-stage framework for automated landmark localization and radiologic measurement: a case of the C1-2 complex on cervical spine lateral radiographs.

Predicting Achilles tendon and patellofemoral joint forces during running with consumer-grade wearable sensor data.

Estimating internal forces at common injury locations may identify injury-prone runners but requires in-lab gait analysis. Consumer-grade wearable-sen...

Advances in Large-Scale Surveying and Monitoring of Large Wild Animals Using Unmanned Aerial Vehicles.

As the number of endangered animal species increases, their conservation requires effective methods for the surveying and monitoring of the spatial an...

SAM2HIPT: A hybrid deep learning framework integrating SAM2 and HIPT with joint loss optimization for immunohistochemical cell nucleus segmentation.

Nucleus segmentation in immunohistochemistry (IHC) images plays a critical role in cancer diagnosis and treatment assessment. However, existing method...

Artificial intelligence vs human opportunistic detection of vertebral fractures in routine CT scans: results of a pilot study.

Artificial intelligence and wearable sensors in sports injury risk prediction: current status and future perspectives.

BACKGROUND: Artificial intelligence (AI) and wearable sensors are increasingly reshaping sports injury risk prediction by enabling continuous, individ...

FedSemiDG: Domain generalized federated semi-supervised medical image segmentation.

Medical image segmentation is challenging due to the diversity of medical images and the lack of labeled data, which motivates recent developments in ...

Joint use of ground-penetrating radar and hydraulic-partitioning tracer tomography to improve characterization and long-term prediction of DNAPL source zones in multi-facies aquifers.

Facies-controlled heterogeneity, including fine-grained lenses and abrupt textural transitions, produces irregular and non-Gaussian DNAPL source zone ...

Artificial intelligence and machine learning: an important new set of tools for clinical shoulder arthroplasty research.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have increasingly transformative potential in orthopedic surgery, enhancing precisi...

Screening of metabolic-related biomarkers linking intervertebral disc degeneration and type 2 diabetes based on comprehensive bioinformatics analysis and machine learning.

BACKGROUND: Intervertebral disc degeneration (IVDD) is a prominent etiology of lower back pain. Type 2 diabetes (T2D), the most prevalent metabolic di...

Evaluation of artificial intelligence-based software programs applied to the radiographic and photographic identification of dental implant systems.

PURPOSE: The purpose of this evaluation study was to assess the performance of ChatGPT-5, Google Gemini (v2.5), and Microsoft Copilot in identifying f...

Performance of three large language models in answering parent-focused questions on rickets: a dual pediatric-orthopedic specialist evaluation.

Purchasing and Using an Artificial Intelligence Algorithm for Fracture Detection: Point-One of the Most Justifiable and Mature Applications in Radiology Today.

Purchasing and Using an Artificial Intelligence Algorithm for Fracture Detection: Counterpoint-Practical Barriers to Clinical Adoption.

An artificial intelligence framework for universal landmark matching and morphometry in musculoskeletal radiography.

OBJECTIVE: Accurate morphometric measurements are crucial for musculoskeletal radiography, but they remain labor-intensive and prone to inter-reader v...

Transcriptome and single-cell RNA sequencing data identify and validate candidate biomarkers associated with lysosomal and ferroptosis in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) represents the most common degenerative joint disease, with emerging evidence linking it to lysosomal dysfunction and ...

Metallic topological structures in bone repair implants: Design, properties, and biological interactions.

Bone repair remains a major clinical challenge. Although traditional metal implants, such as titanium and its alloys, provide mechanical strength, the...