The MLOps Podcast
The MLOps Podcast
Dean Pleban @ DagsHub
🩻 AI in Medical Devices & Medicine with Mila Orlovsky
58 minutes Posted Feb 15, 2024 at 12:04 pm.
Introduction and Background
Early Days of Machine Learning in Medicine
Challenges in Building Medical AI Systems
Differences Between Medical ML and Other ML Domains
Unique Challenges of Medical Data in ML
Counterintuitive Learnings on the Business Side
Impact and Value of ML Models in Medicine
The Role of Doctors in the Age of AI
Explainability in Medical ML
The FDA and Compliance in Medical ML
Feedback and Iteration in Medical ML
Predictions for the Future of ML and AI
Controversial Predictions in the Field of ML
Recommendations
Conclusion
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Show notes
In this episode, I had the pleasure of speaking with Mila Orlovsky, a pioneer in medical AI. We delve into practical applications, overcoming data challenges, and the intricacies of developing AI tools that meet regulatory standards. Mila discusses her experiences with predictive analytics in patient care, offering tips on navigating the complexities of AI implementation in medical environments. This episode is packed with actionable advice and forward-thinking strategies, making it essential listening for professionals looking to impact healthcare through AI.
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Timestamps:
➡️ Mila Orlovsky on LinkedIn – https://www.linkedin.com/in/milaorlovsky/
🩺MeDS – Medical Data Science Israel Community – https://www.facebook.com/groups/452832939966464/
🌐 Check Out Our Website! https://dagshub.com
Social Links:
➡️ LinkedIn: https://www.linkedin.com/company/dagshub
➡️ Twitter: https://twitter.com/TheRealDAGsHub
➡️ Dean Pleban: https://twitter.com/DeanPlbn