Artificial intelligence has been playing a critical role in industries for decades. AI has only recently begun to take a leading role in healthcare. According to Frost & Sullivan, AI systems are projected to be a $6 billion dollar industry by 2021 . A recent McKinsey review predicted healthcare as one of the top 5 industries with more than 50 use cases that would involve AI, and over $1bn USD already raised in start-up equity . With such exponential growth, what does this mean for your organisation? How can you benefit the most from this game-changing technology?

This blog post explains how integrating artificial intelligence into the healthcare platform will help to improve the quality and delivery of care.

The role of artificial intelligence in healthcare is to approximate human decision-making regarding health and wellness. The technology has been deployed in various aspects of the medical industry including treatment process outlining, medical imaging, drug development, personalized medicine, and patient monitoring.

From medication advancement to clinical research here are 9 ways artificial intelligence has improved patient results at decreased expenses

AI is making strides of development in various fields. And one of those fields is healthcare. From medical research to treatments, there are many areas in this sector where AI can contribute. In this article, we'll focus on some of the prominent areas of AI applications healthcare-based. Let's get started. Applications of Artificial Intelligence in the Healthcare Industry 1. Drug Development Drug development is one of the slowest processes in the medical field. It takes around 10-15 years to develop any new medicine. To put it differently, the drugs coming in the market in 2020 were in their early stages

The American Hospital Association (AHA) has distributed its latest strategic report to the Healthcare news platform, States that machine learning in healthcare is an effective solution. Telehealth and artificial intelligence (AI) technologies were also highlighted as being able to help health systems in dealing with staff deficits, impacting the skills and competencies required, securing patient's health records, and expanding clinical possibilities immensely.