Discover the newest research about AI innovations in π©» Radiology.
Automated extraction of pulmonary embolism diagnoses using GPT-4o shows promise in enhancing clinical workflows and accuracy. π©Ίπ
Automated segmentation of breast cancer lesions in ultrasound images shows promising accuracy. π€π Effective algorithms are essential for improved diagnosis.
AI enhances rectal cancer MR imaging for tumor detection and segmentation. Collaboration between radiologists and data scientists shows promising results. π©Ίπ€
Exploring environmental sustainability in cancer imaging is crucial. π This review highlights strategies to reduce impact while improving patient outcomes. π
A recent study highlights a hybrid transformer model, LungMaxViT, achieving 96.8% accuracy in lung disease classification using chest X-rays. π©»β¨
Exploring the intersection of cone beam computed tomography and artificial intelligence in dental imaging. π¦·π€ Insights from recent research.
New AI trial aims for earlier breast cancer detection. Nearly 700,000 women to participate across 30 sites in England. π©Ίπ»
NHS SBS is developing a new AI solutions framework for healthcare, focusing on diagnostics, predictive analytics, and operational efficiency. π€π₯
AI optimization for pediatric chest radiographs enhances diagnostic accuracy. Study reveals tailored operating points improve sensitivity. ππΆ
NHS Image Exchange Portal shares 500 patient images per second, aiding in diagnostic backlogs and enhancing patient access. πΈπ₯
