Artificial intelligence systems are used in clinical practice to assist with medical imaging diagnosis, such as detecting cancers on radiology images.
NOT BSTOTAL BS
NOT BS — Verdict: True
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The Short Version
AI tools are already used in real clinical radiology settings to help detect or assess findings on medical images, including some cancer-related applications. The strongest evidence comes from government, peer-reviewed, and specialty-society sources describing FDA-cleared systems used as decision-support or second-reader tools. The main caveat is that use is uneven and these systems usually assist clinicians rather than diagnose on their own.
Caveats
Clinical adoption is real but not universal; many deployments are limited to specific modalities, indications, or health systems.
These tools generally support radiologists as adjunct or second-reader systems, not stand-alone diagnostic replacements.
Performance can vary across hospitals, scanners, and patient populations, so local validation and monitoring remain important.