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Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare through new era of Artificial Intelligence

Ketan Paranjape, Michiel Schinkel, Prabath W.B. Nanayakkara

2020IEEE Journal of Biomedical and Health Informatics70 citationsDOIOpen Access PDF

Abstract

Medicine has entered the digital era, driven by data from new modalities, especially genomics and imaging, as well as new sources such as wearables and Internet of Things. As we gain a deeper understanding of the disease biology and how diseases affect an individual, we are developing targeted therapies to personalize treatments. There is a need for technologies like Artificial Intelligence (AI) to be able to support predictions for personalized treatments. In order to mainstream AI in healthcare we will need to address issues such as explainability, liability and privacy. Developing explainable algorithms and including AI training in medical education are many of the solutions that can help alleviate these concerns.

Topics & Concepts

Health carePersonalized medicineMainstreamModalitiesComputer scienceThe InternetPrecision medicineWearable computerBig dataData scienceArtificial intelligenceInternet privacyMedicineWorld Wide WebBioinformaticsPolitical scienceSocial scienceLawOperating systemEmbedded systemSociologyBiologyPathologyMachine Learning in HealthcareArtificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education