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Modern AI/ML Methods for Healthcare: Opportunities and Challenges

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Distributed Computing and Intelligent Technology (ICDCIT 2022)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13145))

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Abstract

Artificial Intelligence has seen a significant resurgence in the past decade in wide ranging technology and domain areas. Recent progress in digitisation and high influx of biomedical data have led to an unparalleled success of Machine Learning systems in healthcare, which is perceived to be a possible game changer for ‘healthcare to all’. This article gives an account of some of the current applications of AI solutions in the medical domains of diagnosis, prognosis and treatment. The article will also illustrate the implications of AI in the fight against the COVID-19 pandemic. Lastly, the article will summarise the challenges AI currently faces in its wide-scale adoption in the healthcare industry and how they can possibly be dealt with to move towards a more intelligent medical future. This may enable moving towards quality healthcare for all.

A. Garg and V. V. Venkataramani—Contributed equally.

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Acknowledgements

We thank IHub-Data, IIIT Hyderabad for financial support.

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Authors and Affiliations

  1. Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, Hyderabad, 500 032, India

    Akshit Garg, Vijay Vignesh Venkataramani, Akshaya Karthikeyan & U. Deva Priyakumar

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  1. Akshit Garg
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  2. Vijay Vignesh Venkataramani
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  3. Akshaya Karthikeyan
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  4. U. Deva Priyakumar
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Correspondence to U. Deva Priyakumar .

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Editors and Affiliations

  1. International Institute of Information Technology, Hyderabad, India

    Raju Bapi

  2. Michigan State University, East Lansing, MI, USA

    Sandeep Kulkarni

  3. Ericsson India Global Services Private Ltd., Bangalore, India

    Swarup Mohalik

  4. Indian Institute of Technology Hyderabad, Kandi, Telangana, India

    Sathya Peri

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Garg, A., Venkataramani, V.V., Karthikeyan, A., Priyakumar, U.D. (2022). Modern AI/ML Methods for Healthcare: Opportunities and Challenges. In: Bapi, R., Kulkarni, S., Mohalik, S., Peri, S. (eds) Distributed Computing and Intelligent Technology. ICDCIT 2022. Lecture Notes in Computer Science(), vol 13145. Springer, Cham. https://doi.org/10.1007/978-3-030-94876-4_1

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  • DOI: https://doi.org/10.1007/978-3-030-94876-4_1

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