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Applications of Deep Learning in Healthcare: A Systematic Analysis

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Proceedings of International Conference on Recent Innovations in Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1001))

Abstract

Deep learning (DL) is a subfield of artificial intelligence (AI) that deals with the recognition of patterns. It learns from the input provided to it to predict an output according to the features it evaluates. With the extensive increase in unstructured data in the past few years, the ability to train machines to predict outcomes became much more difficult but the development of artificial neural networks (ANNs) and DL techniques changed that. One of the biggest advancements made with DL is in the field of healthcare. The objective of this research is to provide a comprehensive analysis of the vast applications of DL techniques used in the healthcare system, specifically in the domains of drug discovery, medical imaging, and electronic health records (EHRs). Due to the past epidemics and the current situation of the ongoing pandemic disease, i.e., COVID-19, the application of AI, ML, and DL in this field has become even more critical. Such work has become even more significant, and these techniques can help make timely predictions to combat the situation. The result showed a lot of research is ongoing to continuously tackle the limitations and improve upon the advantages. Many important advancements have been made in the field and will continue to grow and make our quality of life more efficient, cost-effective, and effortless.

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Author information

Authors and Affiliations

  1. Amity School of Engineering and Technology, Amity University, Noida, Uttar Pradesh, India

    Ishani Kathuria & Madhulika Bhatia

  2. School of Creative Technologies, University of Bolton, Bolton, UK

    Anchal Garg

  3. Manav Rachna International Institute of Research and Studies, Faridabad, India

    Ashish Grover

Authors
  1. Ishani Kathuria
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  2. Madhulika Bhatia
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  3. Anchal Garg
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  4. Ashish Grover
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Corresponding author

Correspondence to Ishani Kathuria .

Editor information

Editors and Affiliations

  1. Computer Science and IT Department, Central University of Jammu, Jammu, Jammu and Kashmir, India

    Yashwant Singh

  2. Department of Computer Science, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India

    Pradeep Kumar Singh

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  4. School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  5. IDMEC, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Paulo J. Sequeira Gonçalves

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Kathuria, I., Bhatia, M., Garg, A., Grover, A. (2023). Applications of Deep Learning in Healthcare: A Systematic Analysis. In: Singh, Y., Singh, P.K., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Proceedings of International Conference on Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 1001. Springer, Singapore. https://doi.org/10.1007/978-981-19-9876-8_29

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