Federated Learning in Dentistry: Chances and Challenges
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DOI: 10.1177/00220345221108953
Abstract: Building performant and robust artificial intelligence (AI)–based applications for dentistry requires large and high-quality data sets, which usually reside in distributed data silos from multiple sources (e.g., different clinical institutes). Collaborative efforts are limited as… read more here.
Keywords: learning dentistry; federated learning; chances challenges; dentistry chances ... See more keywords