Mosaic Clinical Technologies™, a wholly owned subsidiary of Radiology Partners, today announced the commercial launch of ...

Objective: To determine if the quality of medical imaging reportsdiffers significantly between radiologists and nonradiologists. Study Design: A retrospective nonblinded review of randomlyselected ...

Video radiology reports—created for individual patients using easy-to-understand language and clearly annotated images—can be valuable tools to help patients better understand test results, according ...

Leesburg, VA, April 20, 2022—According to ARRS’ American Journal of Roentgenology (AJR), video radiology reports have the potential to improve radiologists’ communication with patients, highlighting ...

New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring ...

Most patients want to receive imaging results directly from the doctor who sent them for scans, but many also want to see their radiology reports, a survey finds. "These days, patients like to have ...

Global radiology leader Harrison.ai today launched Harrison.Rad 1.5, a radiology foundation model that can reason over images ...

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology. Errors in radiology reports may occur due to ...

Artificial intelligence (AI) and, above all, large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be ...

In a meta-analysis, large language model (LLM)-simplified radiology reports were found to be more understandable and readable for patients. Clinicians rated the LLM-simplified reports highly for ...

BUFFALO, N.Y. – Impersonating a doctor to create a fake radiology report. Inserting nonexistent fractures into real X-ray images. Both are ways in which artificial intelligence can be misused for ...

A rule-based algorithm was developed using SAS tools to automatically extract and categorize tumor response within progression or no progression categories. 2,970 magnetic resonance imaging, computed ...