Radiology Eye-AI Radiology Interpretation

Example

Interpreting a chest CT scan to identify signs of pulmonary embolism.

Scenario

A patient presents with shortness of breath and chest pain. The radiologist uses Radiology Eye to analyze the CT scan, which highlights areas of decreased perfusion in the lungs, suggesting the presence of a pulmonary embolism. This assists the radiologist in confirming the diagnosis and determining the severity of the condition.

Example

Providing a comprehensive description of a liver lesion detected on an MRI scan.

Scenario

During a routine check-up, an MRI scan reveals a lesion in the liver. Radiology Eye offers a detailed description of the lesion's characteristics, including size, shape, and signal intensity, and suggests differential diagnoses such as hepatocellular carcinoma, hemangioma, or focal nodular hyperplasia. This detailed analysis helps the medical team plan further diagnostic steps or treatments.

Example

Suggesting alternative diagnoses for a suspected case of osteomyelitis on an X-ray.

Scenario

A child with a painful, swollen leg undergoes an X-ray, and the initial impression is osteomyelitis. Radiology Eye provides a list of differential diagnoses, including Ewing sarcoma and bone cysts, based on the radiographic findings. This prompts the clinician to consider additional tests, ensuring a comprehensive evaluation and accurate diagnosis.