X-ray
PulseAugur coverage of X-ray — every cluster mentioning X-ray across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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AI in Radiology: From Assistance to Diagnosis Replacement
The integration of AI tools in radiology presents a significant shift, moving from assisting radiologists in identifying potential tumors on X-ray images to potentially replacing a majority of the workforce. In a hypoth…
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New Falcon framework enhances X-ray threat detection with compositional reasoning
Researchers have introduced Falcon, a novel multimodal framework designed for compositional threat reasoning in X-ray baggage screening. Unlike traditional object-centric models, Falcon focuses on the functional compati…
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New AI framework reconstructs pediatric skull CT from X-rays
Researchers have developed PSCT-Net, a novel framework for reconstructing 3D CT scans of pediatric skulls from sparse bi-planar X-rays. This method addresses the limitations of existing techniques by incorporating geome…
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Biomedical Engineering: Principles, History, and Applications
Biomedical engineering is a multidisciplinary field that applies engineering principles to medicine and biology, focusing on areas like device design, biomaterials, and medical imaging. Key principles include an interdi…
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New AI method improves bone angle estimation in medical imaging
Researchers have developed a novel method for robustly estimating bone angles in medical images, crucial for diagnosis and treatment. The approach combines a learning-based point candidate proposal with robust fitting t…
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Deep Learning Models Achieve 98% Accuracy in COVID-19 Image Classification
Researchers have conducted a comprehensive comparison of various deep learning architectures for classifying COVID-19 from CT and X-ray lung imagery. The study utilized pre-trained models including VGG, Densenet, Resnet…
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MedGemma 1.5 model enhances medical imaging and EHR understanding
Researchers have introduced MedGemma 1.5 4B, an advanced medical AI model designed to handle diverse medical data modalities. This new version integrates capabilities for high-dimensional medical imaging like CT and MRI…
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MedSR-Vision framework benchmarks deep learning for medical image super-resolution
Researchers have developed MedSR-Vision, a new deep learning framework designed to enhance the quality of medical images across various modalities like MRI, CT, and X-ray. This framework allows for the evaluation and co…
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AI study finds lung segmentation vital for COVID-19 X-ray diagnosis
A new study published on arXiv investigates the necessity of data augmentation and lung segmentation for AI-driven COVID-19 detection using chest X-rays. The research, which proposes a methodology called SDL-COVID, foun…