Research of Artificial Intelligence in Medicine

AI is transforming the world in every walk of life. It is collection of technologies that in future will probably rule the entire world. AI is a technology that thinks like human, learns like human but performs like super-human. In this paper, we will discuss about the application of AI in healthcare industry and all the pros and cons it is having, starting from decision making to integrating information, analysing data and use of its own results to improve itself. The technologies like Magnetic Resonance Imaging (MRI), Computed Tomography Scan (CT scan), are a part of AI that’s been widely used in healthcare industry. The use of automated classification techniques like Machine Learning and Natural Language Processing has proved greater accuracies than manual classification. AI’s aid the physicians in countless ways in health care industries. There are certain limitations and demerits of AI too. AI can’t be trusted since it’s a technology that can be tampered. Privacy of patients is also a matter of concern. There is lack of transparency in performing certain jobs. Mainly certain diseases are focused only now days. The ways to improve are discussed here and new ideas are proposed for its betterment and fast growth.