[HTML][HTML] Artificial intelligence in radiology: a call for thoughtful application
CN Driver, BS Bowles, BJ Bartholmai… - Clinical and …, 2020 - ncbi.nlm.nih.gov
CN Driver, BS Bowles, BJ Bartholmai, AJ Greenberg‐Worisek
Clinical and translational science, 2020•ncbi.nlm.nih.govArtificial intelligence (AI) is the most recent development in a long series of disruptive
technological innovations in radiology. Medical imaging began in the late 1800s after the
discovery of the X-ray, but exploded in the late 1900s with the availability of computers to
create, analyze, and store digital images. Future speculation about radiology includes
widespread AI involvement; however, thus far, translation of AI to clinical radiology has been
limited.
technological innovations in radiology. Medical imaging began in the late 1800s after the
discovery of the X-ray, but exploded in the late 1900s with the availability of computers to
create, analyze, and store digital images. Future speculation about radiology includes
widespread AI involvement; however, thus far, translation of AI to clinical radiology has been
limited.
Artificial intelligence (AI) is the most recent development in a long series of disruptive technological innovations in radiology. Medical imaging began in the late 1800s after the discovery of the X-ray, but exploded in the late 1900s with the availability of computers to create, analyze, and store digital images. Future speculation about radiology includes widespread AI involvement; however, thus far, translation of AI to clinical radiology has been limited.
ncbi.nlm.nih.gov
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