"Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? And Quo Tendimus?"
by Mina, Ashraf (2020)
This article is focused on the understanding of the key points and their importance and impact on the future of early disease predictive models, accurate and fast diagnosis, patient management, optimise treatment, precision medicine, and allocation of resources through the applications of Big Data (BD) and Artificial Intelligence (AI) in healthcare.
Applying ML concept in computational pathology, which is defined as an approach to diagnosis that incorporates multiple sources of data (e. g. pathology, radiology, clinical, molecular and laboratory operations), presents clinically actionable knowledge to doctors, investigators and patients . The work culture will play a significant role to be more inclusive to allow different experts from all relent areas to work cohesively together including, IT application specialists, medical and scientific experts, data scientists, hardware and software engineers, biostatisticians, and algorithm designers. (p.5)
KeywordsArtificial Intelligence, Machine Learning, Heath Care, Medicine
ThemesUnemployment, AI and Medicine, AI and Healthcare
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