unstructured: Data-driven science and its corollaries in machine
learning and the wider field of artificial intelligence have the
potential to drive important changes in medicine. However, medicine
is not 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
its further processing and cross-linking for decision support and
predictive systems must be accompanied by parallel changes in the
global environment, with numerous stakeholders, including citizen
and society. What can be seen at the first glance as a barrier and
mechanism slowing down the progression of data science must,
however, be considered an important asset. Only global adoption can
transform the potential of big data and artificial intelligence
into an effective breakthroughs in handling health and medicine.
This requires science and society, scientists and citizens, to
This is the abstract only. Read the full article on the JMIR site.
JMIR is the leading open access journal for eHealth and healthcare
in the Internet age.
Source: All – Medical Journals
Unlocking the Power of Artificial Intelligence and Big Data in Medicine