Artificial Intelligence in Minimally Invasive Interventional Treatment
Daniel Ruijters
TL;DR
This paper reviews how artificial intelligence can enhance minimally invasive image-guided treatments by exploring various application areas and discussing deployment strategies.
Contribution
It provides a comprehensive overview of AI applications in minimally invasive procedures and discusses deployment challenges and opportunities.
Findings
AI has potential to improve image processing in minimally invasive treatments.
Several application areas for AI in this domain are identified and analyzed.
Deployment strategies for AI in clinical settings are discussed.
Abstract
Minimally invasive image guided treatment procedures often employ advanced image processing algorithms. The recent developments of artificial intelligence algorithms harbor potential to further enhance this domain. In this article we explore several application areas within the minimally invasive treatment space and discuss the deployment of artificial intelligence within these areas.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Medical Imaging and Analysis · Radiomics and Machine Learning in Medical Imaging