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Healthcare AI adoption is transforming the way we address risk, confidentiality, and patient care. In this episode, RJ Kedziora, co-founder of Estenda Solutions talks about the practical steps to safely integrate AI in clinical workflows.
Learn how to manage data privacy, mitigate algorithmic bias, and keep a human in the loop to prevent misdiagnoses. Discover real-world strategies for using AI ethically, from ambient listening to second-opinion checks, and why it’s irresponsible not to harness AI’s potential.
The discussion also highlights how AI can enhance the roles of healthcare professionals, ultimately improving patient outcomes.
🎙️ Guest: Richard Kedziora | co-founder/COO of Estenda Solutions
🔗 Connect with Richard Kedziora: LinkedIn
📌 Chapters:
00:00 Introduction to AI in Healthcare
03:01 Understanding Risks in AI Implementation
06:02 Confidentiality and Data Protection
09:03 Ethics and Explainability in AI
11:52 Bias in AI and Its Implications
15:09 Mitigating Risks in AI Usage
17:51 The Role of Humans in AI Decision Making
21:04 AI Enhancing Healthcare Professionals' Roles
24:10 Future of AI in Healthcare
26:57 Final Thoughts and Resources
Subscribe for more insights on AI in Healthcare!
For transcripts, check out the podcast website - www.lifesciencespod.com
4.6
1010 ratings
Healthcare AI adoption is transforming the way we address risk, confidentiality, and patient care. In this episode, RJ Kedziora, co-founder of Estenda Solutions talks about the practical steps to safely integrate AI in clinical workflows.
Learn how to manage data privacy, mitigate algorithmic bias, and keep a human in the loop to prevent misdiagnoses. Discover real-world strategies for using AI ethically, from ambient listening to second-opinion checks, and why it’s irresponsible not to harness AI’s potential.
The discussion also highlights how AI can enhance the roles of healthcare professionals, ultimately improving patient outcomes.
🎙️ Guest: Richard Kedziora | co-founder/COO of Estenda Solutions
🔗 Connect with Richard Kedziora: LinkedIn
📌 Chapters:
00:00 Introduction to AI in Healthcare
03:01 Understanding Risks in AI Implementation
06:02 Confidentiality and Data Protection
09:03 Ethics and Explainability in AI
11:52 Bias in AI and Its Implications
15:09 Mitigating Risks in AI Usage
17:51 The Role of Humans in AI Decision Making
21:04 AI Enhancing Healthcare Professionals' Roles
24:10 Future of AI in Healthcare
26:57 Final Thoughts and Resources
Subscribe for more insights on AI in Healthcare!
For transcripts, check out the podcast website - www.lifesciencespod.com
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3,765 Listeners