Increasing Involvement of Artificial Intelligence in Healthcare with Special Reference To Strokes2018

– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications

The present status of AI applications in healthcare is surveyed, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prediction evaluation, and future applications 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-based tools are transforming oncology clinical applications for personalized care.
– Challenges in applying AI-based tools in cancer care are discussed.

– Survey of AI applications in healthcare and future applications discussed.
– Detailed review of AI applications in stroke, including early detection, treatment, and outcome prediction.

The paper mentions that AI tools are used in major disease areas such as cancer, neurology, and cardiology. In the context of stroke, AI tools are used for early detection and diagnosis, treatment, and outcome prediction and evaluation.

– AI can be applied to various types of healthcare data.
– AI applications in stroke include early detection, treatment, and outcome prediction.

– AI techniques include machine learning and natural language processing.
– Popular AI tools in healthcare include IBM Watson.

– The paper reviews existing AI technology and its potential applications in manufacturing systems.
– The paper discusses tools and techniques of AI relevant to the manufacturing environment.

– The paper discusses the application of stored programs in Artificial Intelligence.
– It focuses on production systems and their role in rule-based expert systems.