X-ray
PulseAugur coverage of X-ray — every cluster mentioning X-ray across labs, papers, and developer communities, ranked by signal.
8 day(s) with sentiment data
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Tracehub-mcp and Cost-Guard-mcp update default security settings
The author details recent upgrades to the tracehub-mcp and cost-guard-mcp tools, highlighting significant changes in default security configurations. Tracehub-mcp now defaults to a loopback address for its HTTP listener…
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AI research paper reveals method to detect hidden disparities in clinical models
A new research paper published on arXiv details a method for detecting and validating hidden subgroup disparities in clinical AI. The study focused on cardiomegaly classification using chest X-rays, demonstrating that a…
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AI in Radiology: A Powerful Second Reader, But Not Yet Autonomous
Artificial intelligence is increasingly being used in radiology as a supplementary tool to assist medical professionals. AI algorithms can analyze medical images like X-rays, CT scans, and MRIs to identify potential iss…
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XGLASS method uses X-rays and gaze data to prioritize CT scan slices
Researchers have developed XGLASS, a novel method to improve the analysis of 3D CT scans by leveraging 2D X-ray images and language-aligned radiologist gaze data. This approach prioritizes diagnostically relevant slices…
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New framework integrates X-ray and neutron scattering data for materials science
Researchers have developed a new modular framework for analyzing data from multiple scientific measurements, particularly X-ray and neutron scattering experiments. This framework, based on prior-amortized flow matching,…
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AI research advances in materials science, time-series forecasting, and neural network training
Researchers are developing new methods for analyzing complex scientific data using AI. One paper introduces a compositional neural network framework that combines X-ray and neutron scattering data for materials science,…
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MMedAgent-Plus coordinates 18 specialist AI models for complex medical tasks · 2 sources tracked
Researchers have developed MMedAgent-Plus, a multimodal medical agent designed to coordinate multiple specialized AI models for complex clinical analyses. This agent utilizes a vision-language planner to select and sequ…
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AI agents leverage Bedrock, MCP, and context protocols for enhanced functionality · 3 sources tracked
This cluster discusses advancements in AI agent development and integration. One item details how to deploy and invoke a support agent on Bedrock AgentCore Runtime, emphasizing the use of X-ray for monitoring execution …
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Google's AI for TB screening deployed in Africa; regulators eye AI risks
Google has adapted its chest X-ray tuberculosis screening technology into a clinical product, which is now being used in approximately 40 healthcare facilities across six African countries. This AI-powered system aims t…
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New AI framework OA-MAP predicts knee osteoarthritis progression with interpretable evidence
Researchers have developed OA-MAP, a novel multi-agent framework designed to predict the progression of knee osteoarthritis (KOA). This system integrates various data modalities, including MRI and X-ray, and utilizes sp…
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PhyDiCT framework reconstructs 3D CT images using physics and diffusion priors
Researchers have developed PhyDiCT, a novel framework for reconstructing 3D Computed Tomography (CT) images from limited X-ray projections. This training-free approach combines a physics-based differentiable forward mod…
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MedSAM-3 enhances medical image segmentation with text prompts and LLM agents
Researchers have introduced MedSAM-3, a new model designed for medical image segmentation that leverages text prompts for precise targeting of anatomical structures. By fine-tuning the Segment Anything Model (SAM) archi…
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New CORAL framework enhances medical report generation with interpretable reasoning
Researchers have developed CORAL, a novel multimodal framework designed to improve the interpretability and accuracy of medical report generation from imaging data. This framework integrates spatial grounding and concep…
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Amazon Prime Video integrates shopping with "Shop the Scene" feature
Amazon has launched a new feature called "Shop the Scene" for its Prime Video service, allowing viewers to purchase items seen on screen, such as clothing worn by actors, or similar alternatives. This feature integrates…
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New UBone3D framework enhances 3D shape completion from ultrasound data
Researchers have developed UBone3D, a new framework designed to improve the accuracy and anatomical fidelity of 3D shape completion from ultrasound data. This method utilizes physics-rectified conditional flow matching …
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NIST quantum sensors enhance nuclear material monitoring accuracy
Researchers at NIST have developed ultrasensitive quantum sensors that significantly improve the accuracy of monitoring nuclear materials. These sensors, known as transition edge sensors (TESs), precisely measure X-ray …
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New X-ray method reconstructs gas turbine blade geometry with subpixel accuracy
Researchers have developed a novel 3D-2D rigid registration method to accurately reconstruct the geometry of gas turbine blades using X-ray projections. This approach aligns computer-aided design (CAD) models with X-ray…
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3D bone geometry reconstructed from two X-rays using statistical shape model
Researchers have developed a novel method to reconstruct 3D bone geometry from just two X-ray images, bypassing the need for CT scans or large neural network datasets. The approach utilizes a statistical shape model der…
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AI is transforming radiology, not replacing radiologists, experts say
AI has not replaced radiologists as predicted by Geoffrey Hinton in 2016, with the field actually seeing steady growth. However, AI is significantly altering the profession by acting as a powerful tool that can match or…
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New LiftXR framework reconstructs CT volumes from X-rays
Researchers have developed LiftXR, a novel framework for reconstructing CT volumes from bi-planar X-ray images. This method addresses the inherent ambiguity in X-ray data by first generating a 3D anatomical layout, whic…