Alexander van Teijlingen, Tell Tuttle, Hamid Bouchachia, Brijesh Sathian, Edwin van Teijlingen
{"title":"Artificial Intelligence and Health in Nepal.","authors":"Alexander van Teijlingen, Tell Tuttle, Hamid Bouchachia, Brijesh Sathian, Edwin van Teijlingen","doi":"10.3126/nje.v10i3.31649","DOIUrl":null,"url":null,"abstract":"<p><p>The growth in information technology and computer capacity has opened up opportunities to deal with much and much larger data sets than even a decade ago. There has been a technological revolution of big data and Artificial Intelligence (AI). Perhaps many readers would immediately think about robotic surgery or self-driving cars, but there is much more to AI. This Short Communication starts with an overview of the key terms, including AI, machine learning, deep learning and Big Data. This Short Communication highlights so developments of AI in health that could benefit a low-income country like Nepal and stresses the need for Nepal's health and education systems to track such developments and apply them locally. Moreover, Nepal needs to start growing its own AI expertise to help develop national or South Asian solutions. This would require investing in local resources such as access to computer power/capacity as well as training young Nepali to work in AI.</p>","PeriodicalId":43600,"journal":{"name":"Nepal Journal of Epidemiology","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538016/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nepal Journal of Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/nje.v10i3.31649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/9/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
The growth in information technology and computer capacity has opened up opportunities to deal with much and much larger data sets than even a decade ago. There has been a technological revolution of big data and Artificial Intelligence (AI). Perhaps many readers would immediately think about robotic surgery or self-driving cars, but there is much more to AI. This Short Communication starts with an overview of the key terms, including AI, machine learning, deep learning and Big Data. This Short Communication highlights so developments of AI in health that could benefit a low-income country like Nepal and stresses the need for Nepal's health and education systems to track such developments and apply them locally. Moreover, Nepal needs to start growing its own AI expertise to help develop national or South Asian solutions. This would require investing in local resources such as access to computer power/capacity as well as training young Nepali to work in AI.
期刊介绍:
The Nepal Journal of Epidemiology is a international journal that encompasses all aspects of epidemiology. The journal encourages communication among those engaged in the research, teaching, and application of epidemiology of both communicable and non-communicable disease, including research into health services and medical care. Also covered are new methods, epidemiological and statistical, for the analysis of data used by those who practise social and preventive medicine. It provides the most up-to-date, original, well designed, well interpreted and significant information source in the multidisciplinary field of epidemiology. We publish manuscripts based on the following sections: 1.Short communications 2.Current research trends 3.Original research 4.Case reports 5.Review articles 6.Letter to editor