Radiology Report Assistant-AI-Powered Radiology Reporting

Example

Automatically generating a detailed report for a lung CT scan that categorizes findings according to the Lung-RADS classification, including management recommendations.

Scenario

When a radiologist uploads a CT scan of the lung, the Assistant analyzes the images, identifies abnormalities (e.g., nodules), and suggests a Lung-RADS category. The generated report includes sections for findings, diagnosis, and management, streamlining the reporting process.

Example

Providing a BI-RADS classification for breast imaging studies based on the presented findings.

Scenario

In a breast MRI where suspicious lesions are detected, the Assistant evaluates the descriptions provided by the radiologist, suggests a BI-RADS category based on lesion characteristics (size, shape, margins), and includes a disclaimer advising further review.

Example

Translating a radiology report from English to Spanish to facilitate understanding by a Spanish-speaking patient.

Scenario

After generating a structured report in English, the Assistant can translate it into Spanish, ensuring that the patient fully understands the findings and recommendations without language barriers.

Example

Converting complex medical jargon in a radiology report into simpler language for patient comprehension.

Scenario

For a patient diagnosed with a benign hepatic lesion, the Assistant can provide a summary in layman's terms, explaining that the liver has a small, non-cancerous area, which is not uncommon and generally not a cause for concern.