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Episode 024: Harsh Thakkar (@harshvthakkar) engages in a riveting discussion with RJ Kedziora (@RJKedziora), Co-Founder / Partner and Solutions Architect Estenda Solutions, Inc.
In this episode, RJ uncovers the ins and outs of blending clinical information with imaging data, especially for patients with chronic conditions like diabetes and hypertension. RJ also dives into how data management has evolved and the exciting opportunities AI brings to healthcare.
Harsh and RJ also explore the regulatory landscape surrounding AI in healthcare, discussing the EU and FDA's risk-based approach towards medical devices and AI applications. They emphasize the importance of transparency, data governance, and addressing biases in AI training datasets to ensure the technology serves a diverse population effectively.
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Links:
*Estenda Solutions, Inc. Website
*Upcoming HLTH Conference in Las Vegas
*Would you rather watch the video episode? Subscribe to full-length videos on our YouTube channel.
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Show Notes:
(5:45) Using AI in healthcare with examples from Joslin Diabetes Center.
(10:47) AI in healthcare, data quality, and regulations.
(15:59) AI in healthcare, data bias, and integration.
(24:31) Digital health data analysis and expertise needed.
(29:19) AI security challenges and solutions.
For transcripts, check out the podcast website - www.lifesciencespod.com
4.6
1010 ratings
Episode 024: Harsh Thakkar (@harshvthakkar) engages in a riveting discussion with RJ Kedziora (@RJKedziora), Co-Founder / Partner and Solutions Architect Estenda Solutions, Inc.
In this episode, RJ uncovers the ins and outs of blending clinical information with imaging data, especially for patients with chronic conditions like diabetes and hypertension. RJ also dives into how data management has evolved and the exciting opportunities AI brings to healthcare.
Harsh and RJ also explore the regulatory landscape surrounding AI in healthcare, discussing the EU and FDA's risk-based approach towards medical devices and AI applications. They emphasize the importance of transparency, data governance, and addressing biases in AI training datasets to ensure the technology serves a diverse population effectively.
-----
Links:
*Estenda Solutions, Inc. Website
*Upcoming HLTH Conference in Las Vegas
*Would you rather watch the video episode? Subscribe to full-length videos on our YouTube channel.
-----
Show Notes:
(5:45) Using AI in healthcare with examples from Joslin Diabetes Center.
(10:47) AI in healthcare, data quality, and regulations.
(15:59) AI in healthcare, data bias, and integration.
(24:31) Digital health data analysis and expertise needed.
(29:19) AI security challenges and solutions.
For transcripts, check out the podcast website - www.lifesciencespod.com
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