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A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening

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A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening

C. R. Wijesinghe et al · BMC · 2026 · ISSN 1472-6947

Abstract Background Thalassemia is the most prevalent single-gene disorder in Sri Lanka, imposing a significant socioeconomic and healthcare burden. Early carrier detection is essential for genetic counselling and the pr...

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Effect of reduced orbital rotation on image quality and intra-articular screw detection in intraoperative 3D imaging of proximal humerus plate fixation: a cadaveric study

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Effect of reduced orbital rotation on image quality and intra-articular screw detection in intraoperative 3D imaging of proximal humerus plate fixation: a cadaveric study

Benno Bullert et al · BMC · 2026 · ISSN 1749-799X

Abstract Background Proximal humerus fractures are common injuries in the elderly, frequently treated with plate osteosynthesis. Intraoperative 2D fluoroscopy provides only limited visualization of the humeral head’s c...

LCC TENDOk9ydGhvcGVkaWMgc3VyZ2VyeQ~~; LCC:Diseases of the musculoskeletal systemIdioma eng

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Clustering-based low-rank matrix approximation for multimodal medical image compression

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Clustering-based low-rank matrix approximation for multimodal medical image compression

Sisipho Hamlomo et al · BMC · 2026 · ISSN 1756-0381

Abstract Medical images are inherently high-resolution and contain locally varying structures that are crucial for diagnosis. Efficient compression of such data must therefore preserve diagnostic fidelity while minimizin...

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Application of deep learning strategies in the standardization and diagnostic efficiency enhancement of chest X-ray imaging

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Application of deep learning strategies in the standardization and diagnostic efficiency enhancement of chest X-ray imaging

Yung-Cheng Wang et al · BMC · 2026 · ISSN 1471-2342

Abstract Introduction This study aimed to develop a deep learning-based system to automatically assess patient positioning compliance in chest radiographs, focusing on cervical spine visibility, scapular overlap, and cos...

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Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI

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Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI

Simon Johannes Joham et al · BMC · 2026 · ISSN 1475-925X

Abstract Background Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from their intermediate counterpart, atypical cartilaginous tumors (ACT). Histologically, tumor distinction of these ...

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A deep learning system for diagnosis of rheumatoid arthritis on digital hand photographs

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A deep learning system for diagnosis of rheumatoid arthritis on digital hand photographs

Ryosuke Hanaoka et al · BMC · 2026 · ISSN 2520-1026

Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...

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