Expanding AI’s Role in Medical Imaging

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How radiologists and pathologists can find support through artificial intelligence

Over time, artificial intelligence (AI) has become invaluable in uncovering insights into clinical decision-making, connecting patients with self-management resources, and extraction clinical significance from previously inaccessible, jumbled data assets.

In the area of medical imaging, a similarly untapped mine of potentially useful information remains a mystery to many. Thinking through the thousands of MRIs, x-rays, and other tests performed in your facility, imagine the myriad uses for medical information that go undiscovered about your patients.

It’s not the first time it’s been suggested that medical imaging could be the next big thing in medical imaging. But a recent Health IT Analytics articles suggested the top-five cases in which AI could play a role in the future of imaging:

  • Identifying Cardiovascular Abnormalities
  • Detecting Fractures, Other Musculoskeletal Injuries
  • Aiding in Diagnosis of Neurological Diseases
  • Flagging Thoracic Complications and Conditions
  • Screening for Cancers

The actual impact of AI upon medical imaging remains to be seen, but it’s easy to envision a scenario where these impacts and others become a big story in the none-too-distant future of healthcare.

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About Author

Rob Senior
Rob Senior

Rob has 15 years of experience writing and editing for healthcare. He previously worked for ADVANCE from 2002 to 2012.

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