Artificial Intelligence and Disease Detection


Status Go Podcast: Episode 29

Almost everywhere you look there’s uses of AI and ML.  The basics are, by having the machine crawl through all of your information, you can come up with much better decision making and you can’t do that even with a huge staff writing queries.” – Mark Plaskow

Status Go Podcast: Episode 29

Artificial Intelligence and the Machine Learning is only as good as A, the data and B, the training of it. And there are so many anomalies with medicine that you need that human component.” – Mark Plaskow

Status Go Podcast: Episode 29

” The power of AI is the ability of the machine to make predictions. “ – Mark Plaskow

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.

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.


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