Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Oct 9, 2019
Date Accepted: Oct 20, 2019
Unlocking the power of artificial intelligence and bigdata in medicine
ABSTRACT
Data driven science and its corollaries in machine learning and the wider field of artificial intelligence (AI) have the potential to drive important changes in medicine. However, medicine isn’t a science like any other, it is deeply and tightly bound with a large and wide network of legal, ethical, regulatory, economical and societal dependencies. As a consequence, the scientific and technological progresses in handling information, and it’s further processing and cross-linking for decision-support and predictive systems must be accompanied with parallel changes in the global environment, with numerous stakeholders, including citizen and society. What can be seen, at a first glance, as a barrier and a mechanism slowing down the progression of data science must in contrary be considered as an important asset. Only global adoption can transform the potential of big data and AI into an effective breakthrough in handling health and medicine. And this requires science and society, scientists and citizen, to progress together.
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