A5038853507- Shoulder Injury and Treatment
- Dental Radiography and Imaging
- Total Knee Arthroplasty Outcomes
- Orthopedic Infections and Treatments
- Medical Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare and Education
- Orthopaedic implants and arthroplasty
- Advanced X-ray and CT Imaging
- Anatomy and Medical Technology
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Medical Imaging and Pathology Studies
- Surgical Simulation and Training
Politecnico di Milano
2022-2025
Bioengineering Technology and Systems (Italy)
2022
Goal: Effective preoperative planning for shoulder joint replacement requires accurate glenohumeral (GH) digital surfaces and reliable clinical staging. Methods: xCELUNet was designed as a dual-task deep network humerus scapula bone reconstruction in CT scans, assessment of three GH conditions, namely osteophyte size (OS), space reduction (JS), humeroscapular alignment (HSA). Results: Trained on dataset 571 patients, the model optimized segmentation classification through transfer learning....
Osteoarthritis is a degenerative condition that affects bones and cartilage, often leading to structural changes, including osteophyte formation, bone density loss, the narrowing of joint spaces. Over time, this process may disrupt glenohumeral (GH) functionality, requiring targeted treatment. Various options are available restore functions, ranging from conservative management surgical interventions, depending on severity condition. This work introduces an innovative deep learning framework...
Bone segmentation and 3D reconstruction are crucial for total knee arthroplasty (TKA) surgical planning with Personalized Surgical Instruments (PSIs). Traditional semi-automatic approaches time-consuming operator-dependent, although they provide reliable outcomes. Moreover, the recent expansion of artificial intelligence (AI) tools towards various medical domains is transforming modern healthcare. Accordingly, this study introduces an automated AI-based pipeline to replace current...
Unet architectures are being investigated for automatic image segmentation of bones in CT scans because their ability to address size-varying anatomies and pathological deformations. Nonetheless, changes mineral density, narrowing joint spaces formation largely irregular osteophytes may easily disrupt automatism requiring extensive manual refinement. A novel variant, called CEL-Unet, is presented boost the quality femur tibia osteoarthritic knee joint. The neural network embeds region-aware...
Recent advancements in augmented reality led to planning and navigation systems for orthopedic surgery. However little is known about mixed (MR) orthopedics. Furthermore, artificial intelligence (AI) has the potential boost capabilities of MR by enabling automation personalization. The purpose this work assess Holoknee prototype, based on AI multimodal data visualization surgical knee osteotomy, developed run HoloLens 2 headset.
Unet architectures are promising deep learning networks exploited to perform the automatic segmentation of bone CT images, in line with their ability deal pathological deformations and size-varying anatomies. However, degeneration, like development irregular osteophytes as well mineral density alterations might interfere this automated process demand extensive manual refinement. The aim work is implement an innovative variant, CEL-Unet, improve femur tibia outcomes osteoarthritic knee...
Osteoarthritis is a degenerative condition affecting bones and cartilage, often leading to osteophyte formation, bone density loss, joint space narrowing. Treatment options restore normal function vary depending on the severity of condition. This work introduces an innovative deep-learning framework processing shoulder CT scans. It features semantic segmentation proximal humerus scapula, 3D reconstruction surfaces, identification glenohumeral (GH) region, staging three common...
Abstract Bone metastatic clear cell renal carcinoma (BM ccRCC) is a persistent clinical challenge and source of significant morbidity lethality for up to 40% patients. Despite the recent approval life-prolonging agents (antiangiogenic agents, immunotherapy) patients with BM ccRCC will eventually progress, due emerging resistance. Bidirectional communication between tumor cells bone stroma has emerged as key determinant disease progression recurrence. However, major in addressing black box...
Medical image segmentation plays a crucial role in modern healthcare systems, and the use of artificial intelligence tools, particularly deep convolutional neural networks, has significantly advanced field. However, achieving accurate voxel resolution 3D reconstruction remains challenging due to inherent noise, complex anatomical structures, overlapping regions. This study explores application novel Unet variant, CEL-Unet, boost humerus scapula osteoarthritic shoulder joints. The performance...