Latest Research in Artificial Intelligence in Healthcare and Education
18 research papers · 2026 median publication year
Top Research Topics in Artificial Intelligence in Healthcare and Education
- Artificial Intelligence in Healthcare and Education — 6 papers
- Medical Imaging and Analysis — 5 papers
- Computer Vision and Pattern Recognition — 2 papers
- Osteoarthritis Treatment and Mechanisms — 1 papers
- Hip and Femur Fractures — 1 papers
- Total Knee Arthroplasty Outcomes — 1 papers
- Advanced X-ray and CT Imaging — 1 papers
- Lower Extremity Biomechanics and Pathologies — 1 papers
Highest-Cited Papers
- Deep learning models for bone fracture detection from current trends and challenges to future directions
- Knee cartilage segmentation on MRI using an expert-annotated clinical dataset
- Ischemic Stroke Segmentation and Net Water Uptake Quantification on Multicenter Non-Contrast CT Using Supervised Target-Domain Adaptation
- TransLPQPHOG: a new exemplar feature extraction model for intertrochanteric hip fracture detection
- An attention-enhanced deep learning framework for robust bone tumor screening from radiographs
- Geometry-Aware 1D Residual CNN-BiLSTM Network for Automated Vertebral Localization and Scoliosis Classification
- Research Progress on Semantic Segmentation in Lumbar Degenerative Diseases.
- OrthoVector AI: A Physics-Guided Structure Tensor and Deep Learning Framework for Bone Fracture Screening on 2D X-Rays
- OrthoVector AI: A Physics-Guided Structure Tensor and Deep Learning Framework for Bone Fracture Screening on 2D X-Rays
- Deep Learning for Schatzker Classification on Anteroposterior Radiographs: A Controlled Benchmark and a Transferable Control Protocol
- ARNAI: Artifact Removal Network based on Autoencoding and Inpainting for Robust Spinal Image Segmentation and Measurement
- Feasibility of AI-Denoised Ultra-Low-Dose CT for Detection of Acute Pelvic and Hip Fractures: A Pilot Multi-Reader Study
- SFD-KD: Structured Feature Decoupling Knowledge Distillation for Fracture Detection
- A Three-Phase Explainable Deep Learning Approach for Reliable Wrist Fracture Identification from X-Ray Images
- Attention-Guided EfficientNet-B3 with Grad-CAM Visualization for 22-Class Bone Fracture and Anatomical-Region Classification on the MultiBoneX Dataset
- Artifact-Controlled Multi-Vertebral Transfer Learning Ensemble for Patient-Level Three-Class Osteoporosis Screening Using Thoracoabdominal CT-Derived Lumbar Images
- Multimodal diagnosis of flatfoot using transformer and graph-based deep learning Models
- Code-Free AutoML for Binary Classification of Fractured and Non-fractured Bone Radiographs From a Heterogeneous Public Dataset Using Google Cloud Vertex AI: A Proof-of-Concept Study