Artificial Intelligence-Based Healthcare Systems: A Review of Machine Learning, Deep Learning, Data Analytics, Supply Chain Management, and Electrical Engineering Technologies

Abstract

AI is in the process of remaking modern medicine. Systems powered by machine and deep learning, data analytics and electrical engineering are at the heart of it. This translates to hospital operations that run with greater efficiency, a more patient-focused approach and the sort of predictive analytics needed for decisions made on the spot. Take deep learning, for instance: it has given us a better handle on interpreting medical images and clinical data. And where supply chains are concerned, AI has put things in order through its management of demand and inventory. Then there is the hardware side of things, the sensors and imaging equipment, which is down to electrical engineering. There are still hurdles to clear, not least when it comes to infrastructure or concerns about privacy and how interpretable these tools are. But for all that, AI is proving itself to be an enterprise that puts the patient first and makes healthcare all the more efficient.