A Review Of The Current And Potential Use Of Artificial Intelligence And Machine Learning In 3D Printing

Abstract

This systematic review was done using 40 papers selected from Google Scholar using the PRISMA flow diagram. Out of the 40 papers, 24 dealt with healthcare applications of 3D printing facilitated by AI and ML methods. There were seven papers dealing with various aspects of AI and ML-integrated 3D printing for various purposes. One paper discussed the production of Li-ion batteries with enhanced quality achieved through AI and ML applications in 3D printing. Another paper dealt with sustainability issues of 3D printing and solutions for it. A distant future may see virtual hospitals manned by robots and prescribing treatments to patients based on the use of AI and ML analysis of real-time data from the sensors attached to each individual.