Year: 2025
Type: review
Abstract: provide uncertainty-informed, interactive recommendations. By consolidating image interpretation and expanding the incorporation of patient context, GRAI has the potential to overcome the limitations of narrow AI solutions, improve financial sustainability, streamline operational efficiency, and enhance clinical utility. Appropriate development of GRAI, building on these proposed features, is crucial for realizing the full potential of AI in radiology and enhancing diagnostic performance while reducing the clinical burden on radiologists.
Source: Radiology
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4414082057