Machine Learning has a huge potential and a whole fleet of applications. While some of the applications seemed quite far-fetched few years earlier, a lot has changed over the last couple of years. Engineers and scientists have attained major success in broadening the scope Artificial Intelligence and Machine Learning. Some leading tech giants like Google, Microsoft, IBM and Amazon are taking keen interest in Machine Learning and its applications. Amazon Inc. has recently launched its first Artificial Intelligence based Development Suite which also offers Machine Learning algorithms to the developers for leveraging maximum benefits out of the AI technology. Besides, the company has been using Machine Learning techniques to streamline and monitor the internal processes of its famous e-commerce platform for several years.

Talking about the applications, Machine Learning has made a remarkable progress in the filed of healthcare and medical sciences over the past few years. It is effectively being used in a numerous healthcare applications. In this blog, we bring to you the three most advanced applications of Machine Learning in healthcare industry.

Also read How Machine Learning Will Aid Neural Science. 
 

Crowdsourcing of Medical Data And Drug Research

It might not struck as fascinating to you, but accumulating health data from different sources has a great deal of benefits. It greatly helps the research and development team to understand the medical conditions of most of the patients. This further helps them in developing new and more advanced treatments for the precarious diseases like diabetes, cancer and the ones related to heart and brain.

For instance, Apple’s Research team is striving to find a better treatment for the Asperger’s syndrome and Parkinson’s disease. And for understanding the condition at its core, Apple is constantly amassing medical data from its users by means of interactive apps. Another tech savvy IBM is also using the Machine Learning data to come up with a solid treatment for diabetes.

Besides that, the use of Machine Learning has also considerably increased in Drug research and Drug discovery. It is being used on large scale in extrapolating the future implications of a particular type of drug.

Robotic Surgery

Robotic Surgery. You might think of it as a future implication. But it’s not. However, it’s not mainstream yet, the technique is currently in use in some countries. This has been made possible by the use of Computer Vision which is also a sub-field of Machine Learning. There is this machine called The Da Vinci Robot which has been helping surgeons in carrying out complex operations and surgeries with utmost easy by providing robotic limbs that are perceived to be more capable than human hands. Another major benefit of using these robotic hands is that they can easily reach tight spaces within the human body owing to their sleek and thin structure.