Orthopedics

AI-driven tissue discrimination sensing methods for robot-assisted spine surgery: a state-of-the-art review.

Hyperspectral image classification network based on multiscale spatial-spectral fusion and semantic enhancement encoder.

Hyperspectral image classification has become a pivotal task in remote sensing data processing. However, current deep learning-based methods still face challenges in effectively extracting discriminative joint spatial-spectral features, especially when handling complex spatial structures and highly variable spectral responses. To address this issue, a novel hyperspectral image classification netwo...

Neural reservoir control of a bio-hybrid soft arm.

A long-standing engineering problem, the control of soft robots is difficult because of their highly nonlinear, heterogeneous, anisotropic, and distri...

Integrating network toxicology and experimental validation to elucidate the molecular mechanism basis of chondrotoxicity of Benzo[a]pyrene in osteoarthritis.

Benzo[a]pyrene (BaP), a widespread environmental pollutant, has been increasingly implicated in the pathogenesis of chronic degenerative diseases. Env...

Automated Objective Scoring of Osteoarthritis Severity in Mouse Medial Tibial Cartilage Using Deep Learning.

ObjectiveThis study developed and optimized a deep learning model to automate OARSI-based histologic scoring of mouse medial tibial cartilage.DesignSa...

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 mechanica...

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...

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.

Exploring schizophrenia-associated image-derived digital phenotypes in dual-energy X-ray densitometer scans of non-dominant distal forearm: An explainable machine-learning framework.

Schizophrenia remains diagnosed primarily through clinical assessment, which motivates the researchers to search for quantifiable digital phenotypes. ...

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...

Automated multi-orientation (plane-wise) segmentation of TMJ structures using deep learning: a dual-center study.

OBJECTIVE: To develop and validate a deep learning framework for automated multi-view (across planes) MRI segmentation of temporomandibular joint (TMJ...

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...