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A Comprehensive Analysis Regarding Several Breakthroughs Based on Computer Intelligence Targeting Various Syndromes

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Abstract

Artificial intelligence (AI) is a broad field; this term signifies the application of a machine or computer to construct intelligent behaviour with insignificant human interruption or interference. AI is expressed as the combination of science and engineering for making intelligent computers. The term AI applies to a broad spectrum of matters in medicine and healthcare sectors like robotics, a medical diagnosis which concerns too many different types of diseases, human biology, and medical statistics. AI in medicine and health care is the main focus of this survey. Our goal is to highlight numerous algorithms based on the techniques which rely on artificially intelligent behaviour for detecting many diseases. We then review more precisely regarding AI applications in several categories of diseases such as hereditary diseases, physiological diseases, cancers, and infectious diseases. We have analysed the AI-based algorithms, and results for the same for the diseases included in the categories as mentioned above. Popular AI techniques include machine learning methods, along with the implementation of natural language processing. We have also discussed the impact of big data in the healthcare sector and how it has supported to improve the field of AI. An overview of various artificial intelligent methods is exhibited in this paper alongside the review of relevant important clinical applications.

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Acknowledgements

The authors are grateful to the Department of Computer Engineering, L.J Institute OF Engineering and Technology, School of Petroleum Technology, Centre of Excellence for Geothermal Energy, Pandit Deendayal Petroleum University for the permission to publish this research.

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Authors and Affiliations

  1. Department of Computer Engineering, L.J. Institute of Engineering and Technology, Ahmedabad, Gujarat, India

    Darsh Shah, Rutvik Dixit, Aneri Shah & Priyam Shah

  2. Department of Chemical Engineering, School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India

    Manan Shah

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  1. Darsh Shah
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Contributions

All the authors make a substantial contribution to this manuscript. DS, RD, AS, PS, and MS participated in drafting the manuscript. DS, RD, AS, and PS wrote the main manuscript. All the authors discussed the results and implication on the manuscript at all stages.

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Correspondence to Manan Shah.

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Shah, D., Dixit, R., Shah, A. et al. A Comprehensive Analysis Regarding Several Breakthroughs Based on Computer Intelligence Targeting Various Syndromes. Augment Hum Res 5, 14 (2020). https://doi.org/10.1007/s41133-020-00033-z

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