Machine Learning for Health Symposium 2022 Recap: 3 Key Takeaways

Learn what researchers from Google Health, Carnegie Mellon, Harvard, and other places say about explainable AI and other topics

The Health Data Science Newsletter virtually attended the Machine Learning for Health Conference, the preeminent event for Machine Learning for Health. The daylong event included sessions, panels, and research roundtables led by key thought leaders across the Machine Learning for Health field. It occurs the day before the Neural Information Processing Systems conference. They gathered to discuss the most pressing problems in healthcare and realize the opportunities to create healthcare’s future using machine learning.

If you weren’t able to attend, check out our recap of three key takeaways from Machine Learning for Health 2022:

The themes for this year were Paths to Practice for ML Technologies, Machine Learning Explainability, and Public Health, per conference organizers.