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Radiology Redefined: How Technology is Transforming Medical Imaging

Deep Learning, Orchestration, Read Time, Workflow
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Modern radiology reveals a skyrocketing growth in the imaging volume, juxtaposed with a plateauing number of radiologists.

The growing workload for overburdened physicians creates bottlenecks that can only be resolved through transformative new technologies powered by three important tools: AI, Teleradiology, and Workflow Orchestration.

AI has shown tremendous potential in medical fields, specifically radiology. Universities such as Stanford University and the University of California San Francisco are training deep learning algorithms for faster and more accurate medical imaging detection of dangerous abnormalities. This helps clinicians, who look through 100 scans a day, make optimal treatment decisions and manage their demanding workload.

Teleradiology provides radiologic coverage to remote areas, a result of modern advanced PACS and fast-speed telecom infrastructures. This technological advancement has made radiology increasingly digitized and security of radiology data a greater priority.

Workflow Orchestration technology channels cases to the right recipients in the right order. Large companies such as Clario and Conserus have used effective workflow orchestration to facilitate better collaboration across their medical facilities.

Radiology is an adaptable medical field—previously it transitioned from film to digital and recently invented new imaging modalities such as CT and MR scans. Aidoc CEO Elad Walach says in Radiology Today that “radiology’s adoption of AI-augmented tools will further continue the field’s trajectory of innovative advancement”.

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