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My previous post discussed Challenges to doing ML in healthcare. This one suggests ways to apply AI in that overcome these challenges to realize the potential of AI in the real “healthcare” world. Strategically Choose use cases well, and design to get quick wins to prove ROI early. You will likely encounter a lot of resistance to … Continue reading Applying AI in real “healthcare” world
A number of trends have paved the way for increasing adoption of machine learning (ML) in healthcare. We’re capturing more volume and types of health data than ever. Software for ML are evolving fast. Hardware advances have made the computing power cheaper, more agile, modular and scaleable than ever. However, despite these significant advances, adoption … Continue reading Challenges to applying ML in healthcare
The Health Analytics Guru 