Artificial Intelligence in Healthcare: The Future is Cured

 



Artificial intelligence (AI) aims to mimic human cognitive functions. it's bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the present status of AI applications in healthcare and discuss its future. AI are often applied to varied sorts of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, like the classical support vector machine and neural network, and therefore the modern deep learning, also as tongue processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in additional details the AI applications in stroke, within the three major areas of early detection and diagnosis, treatment, also as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, like IBM Watson, and hurdles for real-life deployment of AI.

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which allows others to distribute, remix, adapt, repose on this work non-commercially, and license their derivative works on different terms, provided the first work is correctly cited and therefore the use is non-commercial.

 

The term AI in healthcare is employed to explain the utilization of AI by researchers and medical practitioners to seek out solutions to existing problems in healthcare and to supply better healthcare services to patients. Following are some samples of the utilization of AI in healthcare.

 

Deep Vidhya is the platform where you can learn AI & ML  and get certified.

 

#Artificial Intelligence

#machine Learning

#deep learning

#python

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