AI in Laboratory, Health & Diagnostics

Abstract

This paper sets its focus towards looking at the data used in diagnosis and how such data can play a key role towards diagnosis and facilitating healthcare needs. This research paper adopts exploratory techniques and qualitative/quantitative analysis to identify key opportunities and areas where they can impact laboratory tests and diagnosis/treatment. Data is the key element that enables towards understanding of the key trends. Various data sets come in from such diagnostic tests or from the medical system that help to build effective databases or knowledge. This knowledge can be fed into the artificial intelligence system to make it more capable of helping in making decisions towards the diagnosis or treatment of patients. This paper aims to understand the key trends in AI in healthcare and diagnosis and also looks at the impact of such data sets that aid in better diagnosis and decision-making capabilities which in turn paves the way for building intelligent system that helps the doctors or lab technicians to make better decisions.