Artificial Intelligence and Disease Detection

Episode 29: Artificial Intelligence and Disease Detection
Listen in on this episode of Status Go as Mark Plaskow, Data Warehousing & Clinical Data Specialist and Jeff Ton, SVP Product Development & Strategic Alliances, discuss using Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, more specifically in identifying disease. Using AI and ML technologies, Mark was able to make the detection of malaria, with 100% sensitivity, a reality. Mark and Jeff also cover the differentiation between AI and ML, how to avoid bias in algorithms, various use cases and steps to operationalizing AI.
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Time Stamped Table of Contents
1:24 Mark’s Doppleganger
2:12 Differentiating between Artificial Intelligence (AI) and Machine Learning (ML)
6:29 AI and disease detection
10:46 Bias in algorithms
16:01 Supervised and Unsupervised Learning
19:18 AI use cases
21:45 Operationalizing AI
29:22 Action items
29:55 Summary
During his 20+ years in technology, Mark Plaskow has founded 4 technology companies, ran one of the largest databases in the country for the Department of Justice and used Artificial Intelligence and Machine Learning to identify malaria and cancerous diseases. He specializes in giving organizations and technologies a competitive edge by using rapid development and top experience to differentiate software and applications in the market.
Mark heads the Indianapolis AI Summit Panel and spoke at Indy Big Data.
Webinar | Machine Learning & Artificial Intelligence
Guidance on how to get the most out of your data, from both the data scientist and business leader perspective.
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