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Artificial Intelligence for Healthcare: Roles, Challenges, and Applications

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Intelligent Systems in Big Data, Semantic Web and Machine Learning

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1344))

Abstract

With the use of an intelligent technology-based healthcare technique, there may be a real opportunity to improve medical care quality and effectiveness, thereby increasing patient wellness. Around the world, with rising healthcare costs and the onset of many illnesses, it has become necessary to focus on the people-centered environment, not just the hospital. The future of healthcare may change completely using artificial intelligence (AI) that change how we prevent, diagnose, and cure health conditions. However, the potential of AI is hard to ignore. It is a decision-making machine that can exponentially increase the efficiency of the healthcare organization. Recently, many published papers use the AI technology to monitor and controls the spread of COVID-19 (Coronavirus) pandemic. There are not only the right set of circumstances by using AI in healthcare but also many obstacles and barriers. Data integration is complex, trust issues, time, and energy limitations are some of the barriers to implementing AI in healthcare. Hence, this chapter provides a survey of AI-driven healthcare and identifies proposed models, which health staff is using to bring AI solutions for health applications. It identifies existing approaches to designing models for AI healthcare. The readers can benefit from the chapter by understanding the roles, challenges, applications, and future opportunities of AI for healthcare.

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Authors and Affiliations

  1. Faculty of Sciences and Techniques, Computer, Networks, Mobility and Modeling Laboratory: IR2M, Hassan First University of Settat, 26000, Settat, Morocco

    Said El Kafhali

  2. ENSIAS, Mohammed V University in Rabat, Rabat, Morocco

    Mohamed Lazaar

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  1. Said El Kafhali
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  2. Mohamed Lazaar
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Correspondence to Said El Kafhali .

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  1. ENSA, Sultan Moulay Slimane University, Khouribga, Morocco

    Noreddine Gherabi

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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El Kafhali, S., Lazaar, M. (2021). Artificial Intelligence for Healthcare: Roles, Challenges, and Applications. In: Gherabi, N., Kacprzyk, J. (eds) Intelligent Systems in Big Data, Semantic Web and Machine Learning. Advances in Intelligent Systems and Computing, vol 1344. Springer, Cham. https://doi.org/10.1007/978-3-030-72588-4_10

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