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Machine Learning with Health Care Perspective pp 27–37Cite as

Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications

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Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 13))

Abstract

Artificial intelligence (AI) has evolved rapidly since the late 1980s. Increasing of healthcare datasets and its performance, the past two decades have seen an exponential progress in publications on AI. However, with the advent of increased computational power, availability of AI devices was increased. There are two main devices in AI, machine learning, where structured data (i.e. images, EP and genetic data) are analyzed and natural language processing, where unstructured data are analyzed. Both AI devices have been improved in great detail over the past two decades for its methods, algorithms, and applications. However, various attempts and new methods of AI have been used in recent years and few diseases such as cancer, nervous system disease, cardiovascular disease, liver disease, congenital cataract disease, etc. were potentially analyzed using AI. Now a day an advanced method called deep learning has initiated a boom of AI and great modifications of diagnostic medical imaging systems like endoscopic diagnosis, pathology and dermatology will be expected in the near future. Herein, the authors give a basic technical knowledge about popular methods, algorithms and applications in medical diagnosis which emerged in the past years.

J. H. Kamdar and J. Jeba Praba are considered as Joint first.

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Author information

Authors and Affiliations

  1. ICAR-Directorate of Groundnut Research, Junagadh, Gujarat, India

    J. H. Kamdar

  2. Department of Computer Applications, Christ College, Rajkot, Gujarat, India

    J. Jeba Praba

  3. Department of Bioinformatics, Christ College, Rajkot, Gujarat, India

    John J. Georrge

Authors
  1. J. H. Kamdar
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  2. J. Jeba Praba
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  3. John J. Georrge
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Corresponding author

Correspondence to John J. Georrge .

Editor information

Editors and Affiliations

  1. Bharati Vidyapeeth's Institute of Computer Applications and Management, New Delhi, Delhi, India

    Vishal Jain

  2. Lord Buddha Education Foundation, Kathmandu, Nepal

    Jyotir Moy Chatterjee

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Kamdar, J.H., Jeba Praba, J., Georrge, J.J. (2020). Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications. In: Jain, V., Chatterjee, J. (eds) Machine Learning with Health Care Perspective. Learning and Analytics in Intelligent Systems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-40850-3_2

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