
Stanford Health Care reports primary care providers find value in AI tools generating imaging result explanations.
Key Details
- 1Stanford developed an EHR-integrated AI tool that drafts comments on radiology, pathology, and lab findings.
- 2A survey was conducted among primary care providers (PCPs) using the tool.
- 3Nearly 85% of clinicians found the tool user-friendly.
- 463% believed it was particularly helpful for imaging results, and 72% for lab results.
- 5Clinicians reported improved efficiency and higher-quality explanations, but flagged issues with accuracy and completeness.
Why It Matters
Primary care providers increasingly interact with imaging results; AI-generated, easy-to-understand explanations may enhance communication and efficiency. Adoption could help bridge knowledge gaps, but ensuring accuracy is crucial for clinical trust and patient safety.

Source
Radiology Business
Related News

•AI in Healthcare
Literature Review Highlights Gaps in Economic Evaluation of Healthcare AI
A Finnish review finds significant gaps in economic evaluation reporting of AI technologies in Western healthcare.

•AI in Healthcare
Economic Evaluations of AI in Healthcare Face Major Gaps
A Finnish review finds significant deficiencies in how studies evaluate and report the economic impact of healthcare AI.

•Health Imaging
AI Platform Triples Functional Independence in UK Stroke Patients
AI brain imaging software deployed by NHS has significantly improved stroke outcomes and functional independence rates in England.