https://msucerl.org/cmse101/tags/radiology/Recent content in Radiology on AI and Society CourseHugoen-usThu, 21 May 2026 00:00:00 +0000https://msucerl.org/cmse101/use-cases/2-1-medical-image-diagnosis/Thu, 21 May 2026 00:00:00 +0000https://msucerl.org/cmse101/use-cases/2-1-medical-image-diagnosis/<h1 id="medical-image-diagnosis-radiology-ai">Medical Image Diagnosis (Radiology AI)</h1> <h2 id="context--systems-architecture">Context &amp; Systems Architecture</h2> <p>Computer-vision algorithms designed for radiology represent one of the most clinically mature applications of AI. FDA-cleared systems built by companies like Aidoc, Viz.ai, and Google DeepMind analyze chest X-rays, head CT scans, and mammograms directly within hospital workflows. These systems function as parallel diagnostic layers, screening medical imagery to flag acute anomalies—such as intracranial hemorrhages, pulmonary embolisms, or malignant nodules—and prioritizing them on a radiologist’s reading queue.</p>