ICT&health December 6, 2022
Data is key to shaping evidence-based health policies, providing citizens with tools and medicines that contribute to their well-being and accelerating research. However, we still struggle to access, use and re-use health data. What are the main challenges and how can we overcome them to succeed?
Data is critical for Artificial Intelligence (AI) and Machine Learning (ML) applications in healthcare. Their quantity and quality directly impact the accuracy and inclusiveness of AI-based solutions, determining if predictions can be generalized to different populations, especially for underrepresented subjects. Thus, developers need to be aware of their limitations and find ways to overcome the hurdles they generate.
Trust and trustworthiness are the foundational aspects concerning the sociotechnical factors to working with health data...
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