In this Intel on AI podcast episode: Colorectal cancer is the one of the most common cancers worldwide, and in about half of patients it can spread to the liver and lead to greater complications. Traditional manual examinations of tumors are time-consuming and subjective for radiologists. Yet, using AI for this workload can be complicated because biomarkers, DNA, and genomic data are enormous and require lots of compute, storage and software to analyze. Saurabh Gupta, Director Advanced Analytics & Artificial Intelligence Product Management at SAS, joins us to talk about how SAS is working with the Amsterdam University Medical Center (UMC) on medical imaging analysis to identify if patients are candidates for surgery based upon the size and growth of lesions. He talks about how Amsterdam UMC using SAS AI-trained models running on Intel processors was able to analyze MRI images and with much greater accuracy identify patients who respond well to chemotherapy and become candidates for surgery. Saurabh highlights how SAS is not just simply a software vendor but also provides many tools that gives its customers a platform to do powerful AI analysis with the SAS software that they know and trust. He also talks about how important it is for SAS customers to be able to develop their solutions on Intel architecture because they already have the skills and architecture needed to address the workloads they have.

To learn more, visit:
SAS.com/ai

Visit Intel AI Builders at:
builders.intel.com/ai

Tags: AI, Amsterdam UMC, artificial intelligence, Colorectal cancer, deep learning, DNA, Fighting Cancer with AI, genomic data, Intelligence Product Management, machine learning, MRI, natural language processing, SAS AI, Saurabh Gupta, Supercomputing
 
Posted in: Artificial Intelligence, Audio Podcast, Healthcare, Intel, Intel on AI