Using AI to Help Clinicians Get a Clear Picture

Using AI to Help Clinicians Get a Clear Picture

Clinicians dread the missed spot on a CT scan or X-ray that leads to a serious health concern. Now health systems are using AI to make sure those mistakes don’t happen.University Hospitals recently announced a partnership with AIdoc to deploy the company’s aiOS platform across all 13 hospitals and dozens of outpatient facilities in the Cleveland-based health system. The technology aims to assist clinicians by giving them another tool to analyze images.As for the potential, UH officials point to the opportunity for AI to pick up on infinitesimal aspects of a CT scan or X-ray that might bypass the naked eye. That tiny spot could be a sign of a pulmonary embolism, aortic dissection, vertebral compression fracture, or pneumothorax. Identifying those and other acute health concerns early means the patient is moved more quickly to the appropriate care provider and treated more quickly and efficiently.

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The health system will review the data collected by the AI platform for accuracy and outcomes before expanding it to other departments and use cases. This review will also aid clinicians in better understanding AI utilization and identifying key metrics. Beyond enhancing accuracy and care team efficiency, the tool will help University Hospitals optimize its limited radiologist workforce, addressing widespread workforce shortages in health systems and hospitals. This will allow radiologists, and eventually other clinicians, to work with greater confidence and practice at the top of their licenses.


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