Why Federated Learning Is the Right Solution for Healthcare AI
At the heart of these challenges lie the issues of data sharing and patient privacy. Protecting personally identifiable information (PII) is obviously of the utmost importance. But this doesn’t mean that AI development must be slow. The future of healthcare requires the development of advanced solutions in a way that embraces data privacy.
Many companies developing healthcare AI solutions will buy data from a small number of hospitals. This works quite well for developing prototypes of AI models. But it doesn’t scale. Striking these data agreements requires a large amount of time and resources from both the companies and the hospitals. This may have worked when there were only a handful of companies developing healthcare AI, but it won’t continue working now that there are hundreds and soon thousands of such companies.
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