AI in healthcare has enormous and far-reaching potential, from mobile training solutions to drug discovery, which fall within the realm of machine learning. Artificial intelligence (AI) in healthcare refers to the use of complex algorithms that are supposed to perform certain tasks automatically. When researchers, doctors, and scientists input data into computers, newly developed algorithms can review, interpret, and even suggest solutions to complex medical problems. It helps divide the vast area of healthcare into two main categories: clinical (patient care) and administrative (the operational foundations that keep the healthcare system running). Machine learning is already being applied in a transformative way in each of these three areas. This will only accelerate in the next few years.

1 RESEARCH METHODOLOGY 

2 RESEARCH OBJECTIVES 

3 RESEARCH PROCESS 

4 SCOPE & COVERAGE

5 REPORT ASSUMPTIONS & CAVEATS 

6 MARKET AT A GLANCE 

7 INTRODUCTION 

8 MARKET OPPORTUNITIES & TRENDS 

9 MARKET GROWTH ENABLERS 

10 MARKET RESTRAINTS