How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses.
Evaluating multimodal LLMs in CT scan interpretation reveals GPTRadScore’s accuracy: Pearson’s correlation up to 0.91! ππ©»
July 1, 2025
Follow us
latest articles
Discover the newest research about AI innovations in π©» Radiology.
Leadership in radiology in the era of technological advancements and artificial intelligence.
AI in radiology: Leadership drives ethical integration, enhancing workflow efficiency and patient care. ππ€
June 30, 2025
MHRA Secures Β£1 Million for AI Airlock Regulatory Sandbox
MHRA receives Β£1 million for AI Airlock regulatory sandbox, promoting safe testing of innovative medical devices. π€π°
June 25, 2025
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
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