OMB Individually Reported
Philips 7300 C
High riskExact public inventory row
Description
AI-assisted Smart Collimation Thorax algorithm, developed by Philips, adjusts detector height and proposes collimation for each chest upright patient individually, based upon data from a 3D Camera.
Detailed example
Recommended settings for imaging process.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Smart Collimation Thorax reduces exam time by up to 35 seconds, resulting in potential daily time savings of 20 minutes for the medical team.
Controls / human review
ATO: Not reported; PIA: Not published