In today’s world, machine learning (ML) has become a part of our daily lives rather than simply a buzzword associated with technology conferences. The innovations we are seeing now will continue to drive transformation in how we work, interact, move around, and even think about everything until 2030. Many of the “10 Innovations in Machine Learning that will Blow Your Mind” we describe in this blog post aren’t going to be possible decades from now; they are happening now and continue to spread through our world each day. For example, thousands of people all around the world benefit from new applications being developed that leverage ML to create personalized opportunities in areas such as healthcare or smart cities. Innovations based on ML will provide more than just increased efficiency to the individuals they touch; they will also provide social change at a global level...in a way that is timeless, human-focused, and doesn’t require specialized knowledge to understand or act upon.
1. Custom-Crafted Solutions for Diagnosing Healthcare Conditions
One exciting possibility of how machine learning technologies will alter modern day medicine is through advancements in diagnostic equipment. Already there are many examples around us that demonstrate how fast a machine learning system can evaluate scanning data compared to even the best trained physician. By analyzing MRI and CT images at nearly impossible speeds they can identify minute abnormalities related to early-stage cancers, heart disease, and neurological disorders. By the year 2030 it is expected that these devices will be readily available to everyone for their own use similarly to when we buy computers today. These devices will provide an early indication if there is an issue so a remedy can be applied and individualized treatment plans can be put in place. Doctors won’t be eliminated with this trend but will benefit from having more complete information about the total health of their patients as well as being able to provide their patients with a sense of control over their own health and wellbeing.
