RadAssist+-AI Radiology Assistance

Example

Analyzing brain MRIs to identify anomalies such as tumors or signs of stroke.

Scenario

A radiologist uploads an MRI scan of a patient's brain. RadAssist+ analyses the image, highlighting areas of interest that may indicate the presence of a tumor or ischemic areas suggestive of a stroke, assisting in the diagnostic process.

Example

Detecting lung nodules or fractures in CT scans.

Scenario

When examining a chest CT for signs of lung disease, RadAssist+ automatically identifies and measures lung nodules, offering insights into potential malignancies and suggesting follow-up protocols.

Example

Assessing fetal health and development in obstetric ultrasound.

Scenario

During an obstetric ultrasound analysis, RadAssist+ aids in evaluating fetal health, measuring growth parameters, and identifying any developmental anomalies, thus supporting prenatal care.

Example

Identifying bone fractures or dislocations.

Scenario

For an X-ray of a suspected fractured limb, RadAssist+ can recognize and classify the type of fracture, providing crucial information for treatment planning.

Example

Highlighting areas of concern in mammograms for early detection of breast cancer.

Scenario

In the analysis of mammograms, RadAssist+ employs advanced algorithms to pinpoint suspicious areas that could indicate the presence of breast cancer, recommending further diagnostic testing or biopsy.