Someone at AI Research Roundup made a video about our SharpXR: Structure-Aware Denoising for Pediatric X-Rays
www.youtube.com/watch?v=UXFY...
#AI #MachineLearning #DeepLearning #MedicalImaging #Denoising #PediatricRadiology #ChestXRay
The finding is from a prospective trial in 553 patients with and without COPD #radiology #COPD #chestxray #xray buff.ly/0hLAUGA
The #ChestXray is the most performed diagnostic x-ray exam, but the report may contain medical terminology and complex information. Dr. Joanna Escalon helps you understand your chest x-ray report in the full video at tinyurl.com/3w7t8r44
#RadiologyInfo
Image from article in Radiology: Artificial Intelligence
#AI system that integrates eye gaze data & #radiology reports to improve diagnostic accuracy in #ChestXray interpretation https://doi.org/10.1148/ryai.240277 @uh.edu #BCB2025 #informatics #AI #ACMBCB
Image from article in Radiology: Artificial Intelligence
#AI system that integrates eye gaze data & #radiology reports to improve diagnostic accuracy in #ChestXray interpretation https://doi.org/10.1148/ryai.240277 @uh.edu #JFR2025 #radiologie #radiology
Image from article in Radiology: Artificial Intelligence
#AI system that integrates eye gaze data & #radiology reports to improve diagnostic accuracy in #ChestXray interpretation https://doi.org/10.1148/ryai.240277 @uh.edu #AOCMP2025 #medphys #RadPhys #radiology
Chest X‑Ray AI Models: Impact of Clinical Context and Pre‑Test Probability
Study finds chest X‑ray AI models are accurate when pre‑test probability from discharge notes is low, but accuracy drops as prior chance rises; balanced test sets expose shortcut. getnews.me/chest-x-ray-ai-models-im... #medicalai #chestxray
Image from article in Radiology: Artificial Intelligence
#AI system that integrates eye gaze data & #radiology reports to improve diagnostic accuracy in #ChestXray interpretation https://doi.org/10.1148/ryai.240277 @uh.edu #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
AI Chest X‑Ray Datasets Constrained by Label Errors, Bias, and Domain Shift
Public chest X‑ray datasets like MIMIC‑CXR and CheXpert suffer label errors, bias, and domain shift, causing performance drops on external images. getnews.me/ai-chest-x-ray-datasets-... #chestxray #ai
MetaCheX Boosts Chest X‑Ray Diagnosis with Patient Metadata
MetaCheX, a multimodal AI that blends chest X-ray images with patient metadata, outperformed image-only baselines on the CheXpert Plus dataset. The preprint was submitted on 15 Sep 2025. getnews.me/metachex-boosts-chest-x-... #metachex #chestxray #ai
Uncertainty-Aware Chest X‑Ray Classification Using Rejection Mechanisms
A chest X‑ray classifier built on DenseNet‑121 adds entropy‑based rejection to abstain when uncertainty is high. Tested on PadChest, NIH ChestX‑ray14 and MIMIC‑CXR, it improves AUC. Read more: getnews.me/uncertainty-aware-chest-... #chestxray #ai
Image from article in Radiology: Artificial Intelligence
Collaborative Integration of #AI and Human Expertise to Improve Detection of Chest Radiograph Abnormalities https://doi.org/10.1148/ryai.240277 @uh.edu #ChestXray #perception #chest
Image from article in Radiology: Artificial Intelligence
#CoRaX is an #AI system that acts as an expert supervisor https://doi.org/10.1148/ryai.250575 #ChestRad #CXR #ChestXray
Image from article in Radiology: Artificial Intelligence
Generative #AI method reduces radiation dose & produces parametric response map parameters using only inspiratory-phase CT https://doi.org/10.1148/ryai.240680 #COPD #GAN #ChestXray
Image from article in Radiology: Artificial Intelligence
Generative #AI method reduces radiation dose & produces parametric response map parameters using only inspiratory-phase CT https://doi.org/10.1148/ryai.240680 #COPD #DeepLearning #ChestXray
Image from article in Radiology: Artificial Intelligence
Generative model, using a single inspiratory CT, outperformed existing algorithms in parametric response map evaluation https://doi.org/10.1148/ryai.240680 #LungDisease #CXR #ChestXray
Image from article in Radiology: Artificial Intelligence
#DeepLearning model estimates total lung volume from CXRs https://doi.org/10.1148/ryai.240484 #lungs #ChestXray #xrays
[Publication] The article "Lung ultrasonography for community-acquired acute pneumonia diagnosis" is now available.
www.sciencedirect.com/science/arti...
#IDsky #CommunityAcquiredAcutePneumonia #Lunglutrasonography #ChestXRay #ChestCTscan
[Publication] The article "Lung ultrasonography for community-acquired acute pneumonia diagnosis" is now available.
www.sciencedirect.com/science/arti...
#IDsky #CommunityAcquiredAcutePneumonia #LungUltrasonography #ChestXRay #ChestCTScan
Secure And Efficient Classification of Chest X-Ray Images Using Cryptography and Machine Learning Techniques
www.dl.begellhouse.com/journals/61f...
#MedicalAI #HealthcarePrivacy #ChestXray
Image from article in Radiology: Artificial Intelligence
Generative model, using a single inspiratory CT, outperformed existing algorithms in parametric response map evaluation https://doi.org/10.1148/ryai.240680 #LungDisease #GenerativeAI #ChestXray
🩻 Can AI models offer faithful, interpretable, and artifact-free explanations for chest X-ray diagnosis?
📢 Meet Anti-Aliased B-cos Networks
✔️ Multi-label support
✔️ High-fidelity saliency maps
✔️ Clinical relevance
by: @margretkeuper.bsky.social
📄 arxiv.org/abs/2507.16761
#MedAI #XAI #ChestXray
The #ChestXray is the most performed diagnostic x-ray exam, but the report may contain medical terminology and complex information. Dr. Joanna Escalon helps you understand your chest x-ray report in the full video at tinyurl.com/3w7t8r44
#RadiologyInfo #Radsky
Image from article in Radiology: Artificial Intelligence
Generative model, using a single inspiratory CT, outperformed existing algorithms in parametric response map evaluation https://doi.org/10.1148/ryai.240680 #DeepLearning #ChestXray #AI
"New at JCAT-radiology
'Virtual Chest Radiographs Developed From Computed Tomography Images for Differentiating Central Venous Versus Misplaced Arterial Lines and for Training Radiologists'
May/Jun 25 dlvr.it/TL5JK7 Au: Satoru Morita et al.
#CT #virtual #ChestXray
Image from article in Radiology: Artificial Intelligence
Pixel-level lung thickness maps for real and synthetic radiographs generated with a U-Net trained on synthetic data https://doi.org/10.1148/ryai.240484 #LungVolume #MachineLearning #ChestXray
Image from article in Radiology: Artificial Intelligence
Pixel-level lung thickness maps for real and synthetic radiographs generated with a U-Net trained on synthetic data https://doi.org/10.1148/ryai.240484 #ChestRad #LungVolume #ChestXray
Image from article in Radiology: Artificial Intelligence
Estimating Total Lung Volume from Pixel-Level Thickness Maps of Chest Radiographs Using Deep Learning https://doi.org/10.1148/ryai.240484 #DeepLearning #ChestXray #xrays
Image from article in Radiology: Artificial Intelligence
Pixel-level lung thickness maps for real and synthetic radiographs generated with a U-Net trained on synthetic data https://doi.org/10.1148/ryai.240484 #ChestRad #DeepLearning #ChestXray
Image from article in Radiology: Artificial Intelligence
U-Net-generated pixel-level lung thickness maps successfully estimated total lung volume for synthetic & real radiographs https://doi.org/10.1148/ryai.240484 #lungs #CXR #ChestXray
