Innovative AI System Enhances Radiology Efficiency and Accuracy
AI system boosts radiology efficiency by 15.5%, identifying critical conditions rapidly. Promising solution to radiologist shortages. π©»π€
June 22, 2025
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Discover the newest research about AI innovations in π©» Radiology.
Artificial intelligence-based tumor size measurement on mammography: agreement with pathology and comparison with human readers’ assessments across multiple imaging modalities.
AI tumor size measurement shows 52% discordance with pathology in breast cancer. ππ€ Further refinement needed.
June 21, 2025
Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines.
GPT-4o outperforms Llama-3.3-70B in stroke CT report data extraction, precision improved with annotation guidelines. ππ§
June 20, 2025
The Machine Learning Models in Major Cardiovascular Adverse Events Prediction Based on Coronary Computed Tomography Angiography: Systematic Review.
Machine learning enhances CCTA in predicting major cardiovascular events, achieving AUROC up to 0.8444. πβ€οΈ
June 14, 2025
Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions.
Deep-learning algorithms enhance lung lesion detection in CT scans, improving image quality significantly. ππ©»
June 13, 2025
Enhanced Error Detection in Radiology Reports Using Fine-Tuned LLMs
Fine-tuned LLMs improve error detection in radiology reports, enhancing patient care and reducing cognitive load for radiologists. π©»π
June 13, 2025
RadNet Expands AI Capabilities with Acquisition of See-Mode Technologies
RadNet has acquired See-Mode Technologies to enhance AI capabilities in ultrasound imaging for thyroid and breast health. ππ©Ί
June 7, 2025
AI-Powered Chest X-Ray Software Implemented at Leeds Teaching Hospitals
AI chest X-ray software launched at Leeds Teaching Hospitals enhances diagnosis speed and accuracy, improving patient care. π₯π»
June 1, 2025
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading.
Deep learning enhances glioma grading accuracy: AUC improved from 0.718 to 0.913! ππ§
May 31, 2025
New Prototype Machine for Detecting Breast Cancer in Dense Tissue
New machine prototype detects breast cancer in dense tissue. Clinical trials to follow after testing phase. π©Ίπ‘
May 26, 2025