- Wide variance in CT data (from different scanners?)
- How can AI be reliable if the underling data differs so much?
- What about drift?
- SIIM 2022 AI Monitoring Session
- https://siim.org/page/
- Gesund.ai - startup working in this area
- Ultrasound exploding due to POCUS
- Since CT values are hounsfield, shouldn't the images have the same HU value for the same patinet with different scanners?
- Variance in CT Data (Stacy O'Connor). Various things that can affect the same piece of the patient at a time
- HU 0 = Water (some vendor made it -10?)
- Upper/Lower bounds are not set
- Only inner XX cm (32?) is "rated" in terms of the ACR phantom
- If you are looking at a large patient, the outside is not rated
- Can get different values for different organs?
- if you need to compare numbers, must use a phantom to baseline
- You get different attenuation for the tissue based on the energy (e.g. protocol)
- Can feed the kernel with raw or reconstructed
- https://siim.org/page/22m_data_science_summit
- IHE Management of Acquisition Protocols
- Some vendor/startup that is adding structured data
- Wants to use its own ontology
- Should use radlex
- flywheel.io claims they have "rules" to structure MR series descriptions with high confidence
- based on regex?