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AI Innovation for Clinical Decision Support with Joe Connor - TWiML Talk #169

AI Innovation for Clinical Decision Support with Joe Connor - TWiML Talk #169

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


AI Innovation for Clinical Decision Support with Joe Connor - TWiML Talk #169

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
42 minutes
Released:
Aug 2, 2018
Format:
Podcast episode

Description

In this episode I speak with Joe Connor, Founder of Experto Crede. Joe’s been listening to the podcast for a while and he and I connected after he reached out to discuss an article I wrote regarding AI in the healthcare space. In this conversation, we explore his experiences bringing AI powered healthcare projects to market in collaboration with the UK National Health Service and its clinicians. We take a look at some of various challenges he’s run into when applying ML and AI in healthcare, as well as some of his successes, such as tackling effective triage of mental health patients using emotion recognition within a chatbot environment. We also discuss data protections, especially GDPR, and the challenges that come along with building systems that are dependent on using patient data under these restrictions. Finally we take a look at potential ways to include clinicians in the building of these applications. The complete show notes can be found at https://twimlai.com/talk/169
Released:
Aug 2, 2018
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.