Deploying AI and Deep Learning Technologies in Healthcare

Deploying AI and Deep Learning Technologies in Healthcare

Healthcare Tech Outlook | Thursday, November 29, 2018

AI has become a buzzword in every industry and has continued to grow with new developments every day. AI and its applications are increasingly finding their way into the healthcare industry. Many health organizations trying to use new software applications to enhance their workflows have faced severe product failure, and AI is about to change this scenario.

The major role of AI is to help doctors, nurses, and healthcare organizations to take appropriate decisions. According to the opinion of professors from the Babson College, healthcare AI is all about augmentation, not automation.

Arterys and Astarte Medical, two startup organizations, have taken this approach of leveraging AI and machine learning to provide solutions to the healthcare industry.

Check out: Top Healthcare Startups

Arterys is analyzing the medical image for patterns. Here, researchers use healthcare systems like MRIs, CT scans, X-rays, Ultrasounds, PET scans to train algorithms to mark skin spots that recognize melanoma in lungs that could be cancer. These thousands of scans’ analysis can recognize patterns that humans miss. As a next step, they look for patterns identified from the analysis of patients’ records. After that, the deep learning system will provide recommendations to the doctor about what treatment needs to be given. 

4D Flow, a software by Arterys can read an MRI of heart and provide information about how the blood flows through the four heart chambers as well as it calculates other heart health data points that are usually calculated by the MD, the contours of the heart chambers. The software is highly accurate in this calculation.

Today, cardiologists commonly avoid manual tools and replace them with software tools. Thus, they can save up to 60 to 90 minutes of time and spend the same on other important healthcare tasks time. Arterys also provides technologies which reduce the variations in healthcare. Occasionally, two doctors may recommend two treatment prescriptions from the same records. But deep learning technologies avoid these chances of such variations in treatments.

It is believed that, with the implementation of the deep learning technologies, the hospitals would be forced to reduce manpower and on the other hand, several hospital staff will lose their job. But in reality, implementations of these technologies indeed upgrade the healthcare industry to another level and at the same time, the workforce will be needed to ensure an efficient workflow.

Weekly Brief