Surrey and Sussex Healthcare NHS Trust Implements Sectra Imaging Solution
Surrey and Sussex Healthcare NHS Trust adopts Sectra imaging solution, enhancing radiology collaboration and patient care across six NHS trusts. π₯π
April 28, 2025
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Discover the newest research about AI innovations in π©» Radiology.
Machine learning vs human experts: sacroiliitis analysis from the RAPID-axSpA and C-OPTIMISE phase 3 axSpA trials.
Machine learning shows 90% sensitivity in sacroiliitis detection, outperforming human experts in specific trials. π€π
April 21, 2025
Artificial Intelligence-Based Software as a Medical Device (AI-SaMD): A Systematic Review.
AI-SaMD: Key Findings & Challenges in Medical Applications π€π
April 19, 2025
AI-Enhanced Lung Cancer Detection Service Launched in South West England
AI-powered chest CT service launched in South West England to enhance lung cancer detection. π©» Early detection improves survival rates. π
April 18, 2025
Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study.
Automated extraction of pulmonary embolism diagnoses using GPT-4o shows promise in enhancing clinical workflows and accuracy. π©Ίπ
April 10, 2025
Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images.
Automated segmentation of breast cancer lesions in ultrasound images shows promising accuracy. π€π Effective algorithms are essential for improved diagnosis.
March 18, 2025
AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation.
AI enhances rectal cancer MR imaging for tumor detection and segmentation. Collaboration between radiologists and data scientists shows promising results. π©Ίπ€
March 17, 2025
Environmental Sustainability and Cancer Imaging.
Exploring environmental sustainability in cancer imaging is crucial. π This review highlights strategies to reduce impact while improving patient outcomes. π
February 28, 2025
Explainable hybrid transformer for multi-classification of lung disease using chest X-rays.
A recent study highlights a hybrid transformer model, LungMaxViT, achieving 96.8% accuracy in lung disease classification using chest X-rays. π©»β¨
February 25, 2025
Cone beam computed tomography and artificial intelligence. ΒΏWhere we are?
Exploring the intersection of cone beam computed tomography and artificial intelligence in dental imaging. π¦·π€ Insights from recent research.
February 6, 2025