04. Why is AI for 3D med imaging important?
Heading
Why is AI for 3D Medical Imaging important and who is it relevant to?
ND320 C3 L0 05 State Of AI For Med Imaging
Intro
A telltale sign of growth in an area of medical technology is the amount of products getting submitted to the regulatory authorities. A good view of what has been happening with AI in medicine is this infographics. Note the recent growth of the share of imaging technologies.
State of AI for med imaging
FDA approvals for medical AI
Hiring check
SOLUTION:
- A hospital system
- A medical imaging startup
- A big tech company like Microsoft or Facebook
- A medical device company like GE or Siemens
Summary
AI for 3D medical imaging is garnering a lot of attention recently because of all the advances in the deep learning space. Some of the early applications are very promising.
To get an idea of the growth of this industry, take a look at what the American College of Radiology (ACR) has been doing. The ACR is a US professional society that develops guidelines for the use of medical imaging technology.
Recently the ACR has been actively working with clinicians and regulators to define the use cases for AI in radiology and help the FDA find the proper regulatory frameworks for various AI techniques. Two initiatives are worth taking a look now:
- ACR has been developing a comprehensive list of use cases for AI in radiology: https://www.acrdsi.org/DSI-Services/Define-AI
- the ACR has been keeping track of FDA cleared tools for radiological imaging: https://www.acrdsi.org/DSI-Services/FDA-Cleared-AI-Algorithms