2018
DOI: 10.33552/abeb.2018.01.000503
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The Future of Health and Healthcare in a World of Artificial Intelligence

Abstract: Artificial Intelligence (AI) consists a set of computational technologies that designed to sense, learn, reason, and take action. AI has already been integrated in many applications including automating the business processes, gaining insight through data analysis, and engaging with customers and employees. AI enabled machines using deep learning algorithms has been shown to exceed human performance, particularly in visual tasks like playing Atari games, strategic board games like Go and object recognition etc… Show more

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Cited by 8 publications
(12 citation statements)
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“…In a growing number of healthcare systems worldwide, robot-assisted surgery (RAS) is starting to be used. RAS is a minimally invasive technique capable of assisting surgeons with complicated surgical procedures [ 20 , 21 , 22 , 23 ].…”
Section: Introductionmentioning
confidence: 99%
“…In a growing number of healthcare systems worldwide, robot-assisted surgery (RAS) is starting to be used. RAS is a minimally invasive technique capable of assisting surgeons with complicated surgical procedures [ 20 , 21 , 22 , 23 ].…”
Section: Introductionmentioning
confidence: 99%
“…One example is Intuitive Surgical's Da Vinci robotic system, the most popular robot for use in narrow, inaccessible areas, such as during cardiothoracic and cancer surgery (Bajpai, 2018). The same company's lung-biopsy system, which uses a robotic catheter that can precisely sample peripheral lung tissue to assist lung-cancer diagnosis, has also shown the considerable potential of applying AI robotics to diagnostics (Bajpai, 2018; Kar et al , 2018). The findings of the study can show a direction for patent owners and healthcare equipment manufacturers to advance and develop emerging and promising AI-healthcare technologies.…”
Section: Discussionmentioning
confidence: 99%
“…After "Shakey" a wheeled robot that was built at SRI, the field of mobile robotics gained International attention 1 . However, in the late '90s with the technological progress in designing computing power to store and process large dataset, the internet having the capacity to gather large amounts of data, and statistical techniques that, by design, can derive solutions from these data sets, allowed AI to emerge as one of the powerful technologies of the century (Kar et al, 2018). In the last two decades Technologies like Cognitive Computing, Computer Vision, Context-aware Computing, Natural Language Processing, Predictive Analytics, Machine Learning, Reinforcement Learning, Supervised Learning, Unsupervised Learning, and Deep Learning, etc.…”
Section: Introductionmentioning
confidence: 99%
“…In the last two decades Technologies like Cognitive Computing, Computer Vision, Context-aware Computing, Natural Language Processing, Predictive Analytics, Machine Learning, Reinforcement Learning, Supervised Learning, Unsupervised Learning, and Deep Learning, etc. have enabled computer's "thoughts" by providing a conceptual framework for processing input and making decisions based on that data (Kar et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
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