Will AI ultimately replace or assist radiologists?

by John R. Fischer, Senior Reporter | November 21, 2022
Artificial Intelligence X-Ray
From the November 2022 issue of HealthCare Business News magazine


While refining these capabilities should be a central focus, ensuring equal access among different institutions is also important. “The big, well-endowed academic hospitals can’t be the sole users of this new technology because they have enough money to pay for it. If the new technology is such a game changer, then patients in places like rural Alabama ought to have equal access,” said Allen.

Wu also warns that as technology advances, solutions like AI will be more frequent targets of cyberattacks. As a result, radiologists and providers should have in place safety mechanisms for preventing these attacks from exploiting the technology and putting operations and patient care at risk.

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“We want to make sure when we deploy something in the health informatics system or clinical workflows, that these softwares are safe to patient data in terms of what they do, and that there is awareness and solutions on preventing potential cyberattacks to the vulnerability of AI systems.”

Leveraging the full potential of AI in radiology and addressing any gaps in its implementation requires radiologists, manufacturers, AI researchers and healthcare leaders to work together and be transparent about what they need in the development and training process.

Doing so will, in turn, ensure that the value that the technology brings to radiology is understood and embraced, while assuaging concerns about it replacing radiologists.

“I’m confident that the depth of diagnostic potential and the breadth of opportunities for advancing the diagnostic frontier will forever allow us to develop new diagnostic methods not yet imagined, and move that frontier toward more precise and more accurate diagnoses from where we are today,” said Brink.


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