Radiology Copilot-AI-powered radiology decision tool.

Example

When a radiologist encounters ambiguous findings on a brain MRI, Radiology Copilot can provide a differential diagnosis list that includes conditions like glioblastoma, metastasis, or demyelinating disease, highlighting specific imaging features to distinguish them.

Scenario

Used during the interpretation of complex imaging cases to narrow down potential diagnoses based on available imaging findings and clinical context.

Example

For a patient with suspected pulmonary embolism, Radiology Copilot can recommend a CT Pulmonary Angiography (CTPA) as the most appropriate next step, explaining its high sensitivity and specificity for detecting emboli.

Scenario

Guides clinicians in selecting the most appropriate imaging modality, balancing diagnostic yield and patient safety, especially in urgent cases.

Example

Radiology Copilot can convert a preliminary report for an abdominal ultrasound into a final report, ensuring the use of standard terminology and formatting, and incorporating follow-up recommendations as per established guidelines.

Scenario

Saves time for radiologists by automating report finalization, ensuring consistency, and reducing errors.

Example

For a lung nodule detected on CT, Radiology Copilot can provide follow-up imaging guidelines based on the nodule size and characteristics, referring to Fleischner Society criteria.

Scenario

Helps ensure that patients receive appropriate follow-up imaging, reducing the risk of missed or delayed diagnoses.