Analytics to X-Rays Unchained: Adaptive AI for Healthcare at the Edge Part 2
Every stage of the human lifecycle provides a rich source of data that has the potential to enable high-performance AI solutions for Healthcare. During this two-part webinar series, we will address the importance of in situ, in silico, inference for Healthcare. In situ, AI reduces comebacks for re-imaging, accelerated triage, and decreases the timelines for diagnosis, all of which improves clinical efficiency and patient outcomes. This series will delve into a variety of AI applications from CAD and image reconstruction to NLP and AI for analytics. Finally, we will discuss the design of medical equipment and on-premises accelerators providing the necessary security, performance, flexibility, and reliability to empower clinicians with medical AI.
