An automated artificial intelligence system can identify potentially cancerous lung nodules based solely on analysis of written radiology reports, according to new research published in the Journal of ...

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 ...

Radiology is facing a global bottleneck due to rising imaging volumes and a worsening shortage of radiologists. Researchers developed a first-of-its-kind, in-house generative AI system that rapidly ...

Imagine getting an MRI of your knees and being told you have "mild intrasubstance degeneration of the posterior horn of the medial meniscus." Subscribe to our newsletter for the latest sci-tech news ...

Headquartered in Scottsdale, Arizona, SimonMed is one of the largest outpatient medical imaging providers and radiology practices in the United States. It covers 10 states with more than 150 locations ...

A set of 4,522 computed tomography (CT) reports of 550 patients with 14 types of cancer was used to fine-tune four clinical large language models (LLMs) for multilabel classification of metastatic ...

Radiology reporting was, and still is, behind. Plain text is the standard format in the industry. UVA Health added the option to enhance reports, just like one would encounter with any news article on ...

OAK BROOK, Ill. – A type of artificial intelligence called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according ...

Locally run large language models (LLMs) may be a feasible option for extracting data from text-based radiology reports while preserving patient privacy, according to a new study from the National ...