Artificial Intelligence and Medical Visualization

Abstract

Artificial Intelligence (AI) is contributing promisingly to the advancement of business, education, automobile, human language-assisted devices, automated machinery, agriculture, pharma, and medicines. The AI machine learning, deep learning, robotics, natural-language processing, computer vision, neural networks, etc., offer better accuracy, speed, and performance in all mentioned core areas. The medical judgment for the particular disease or relevant medical issues is crucial for all further actions. Decision making at the right time with the right information source can produce great outcomes. As medical services connect with human life, all related decision making needs keen concern about accuracy and integrity. Medical decision making is popular with visualization. The clinical activities are based on screening and diagnosis later, which leads to treatment. The medical-visualization process is initiated with laboratory images. The lab reports are analyzed with physical notes for further treatments. AI systems extract useful information from a large patient populations to assist in making real-time inferences for health-risk alerts and health outcome predictions. This chapter focuses on ML & DL usage in skin cancer detection and diagnosis of COVID 19, breast cancer, eye diseases, brain disorders, etc., with image visualization and 3-D printing.

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