AI-Driven Prognosis and Diagnosis for Personalized Healthcare Services: A Predictive Analytic Perspective2020

– AI is being used in healthcare for diagnosis and prognosis.
– Deep learning technologies and various AI algorithms are discussed.

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10.4018/978-1-7998-2120-5.CH008

In this chapter, recent literature based on deep learning technologies has been reviewed to pursue healthcare domains and also various applications, and challenges of AI and deep learning that are used in this field have been discussed.

– AI and computational technology are revolutionizing interior design graphics and modeling.
– These technologies offer benefits such as design iterations, material visualization, and time optimization.

– AI tools are being used for diagnosing major diseases
– Different AI algorithms have been discussed and compared

– Review of recent literature on deep learning technologies in healthcare
– Discussion of applications and challenges of AI and deep learning in healthcare

The paper discusses the use of AI tools for diagnosing major diseases such as cancer, neurology, liver diseases, and cardiology. It also mentions the use of different AI algorithms for disease prediction.

– Deep learning technologies for healthcare domains
– Various AI algorithms for disease prediction and classification

– AI tools can be used for diagnosing major diseases
– Different AI algorithms can be implemented for disease prediction

– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.

– Review of recent literature on deep learning technologies in healthcare
– Discussion of AI algorithms and their implementation for disease prediction

– AI tools used for diagnosing major diseases
– Review of deep learning technologies in healthcare

 

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