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AI in Health: State of the Art, Challenges, and Future Directions
374
Zitationen
2
Autoren
2019
Jahr
Abstract
Technologies have enabled the development of AI-assisted approaches to healthcare. However, there remain challenges. Work is currently underway to address multi-modal data integration, balancing quantitative algorithm performance and qualitative model interpretability, protection of model security, federated learning, and model bias.
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