1. Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare Through New Era of Artificial Intelligence
- Author
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P W B Nanayakkara, Ketan Paranjape, Michiel Schinkel, Internal medicine, ACS - Diabetes & metabolism, APH - Quality of Care, APH - Digital Health, Center of Experimental and Molecular Medicine, and Graduate School
- Subjects
Lung Neoplasms ,Digital era ,Wearable computer ,Mainstreaming ,03 medical and health sciences ,0302 clinical medicine ,Deep Learning ,Health Information Management ,Artificial Intelligence ,Sepsis ,Health care ,Mainstream ,Humans ,Electrical and Electronic Engineering ,Precision Medicine ,030304 developmental biology ,0303 health sciences ,Modalities ,business.industry ,Liability ,Artificial Intelligence (AI) ,Genomics ,Computer Science Applications ,machine learning ,ComputingMethodologies_PATTERNRECOGNITION ,030220 oncology & carcinogenesis ,personalized healthcare ,Artificial intelligence ,Personalized medicine ,business ,Algorithms ,Medical Informatics ,Biotechnology - 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.
- Published
- 2020