Artificial intelligence and machine learning have the power to revolutionize the healthcare industry and unlock a world of amazing potential. But unless all interested parties possess rudimentary knowledge of healthcare and machine learning fundamentals and principles, it is not able to fully utilize the capabilities of these technologies. This present literature survey work analyzes the research which implemented the machine learning algorithms in the detection of pneumonia. Furthermore, it is increasingly obvious that AI systems will not substantially replace human clinicians in patient care but rather support them. Human physicians may eventually gravitate toward duties and work arrangements that make use of particularly human abilities like empathy, persuasion, and big-picture integration. Those healthcare professionals who refuse to collaborate with artificial intelligence may end up being the only ones to lose their professions in the future.


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    Title :

    A Review on Early Prediction of Pneumonia Using Deep Learning, Convolutional Neural Network and X-Ray Images


    Contributors:


    Publication date :

    2022-12-01


    Size :

    460951 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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