AI-driven analyzers are transforming the healthcare sector with their applications of AI in labs for a more efficient workforce. It is set to transform the manual process into automated ones with real-time data analysis. These analyzers with AI have eliminated the chance of human errors in labs while accelerating the rate of recovery in the healthcare sector. Let's get to know about AI-driven analyzers as well as how it helps to reduce stress in labs. AI-driven analyzers are flourishing in the global tech market, especially in the healthcare sector in recent times.

Scientists believe Artificial Intelligence can free humanity from performing routine tasks in many areas. Healthcare is that area that seems to need these changes the most. While outside it is already 2020, and the majority of businesses are digitalizing themselves. The healthcare industry remains a pain point for the biggest part of the world. The research says that 56% of hospitals don't have a strategy on how to govern data and conduct analytics.

Medtronic's mission is to alleviate pain, restore health, and extend life through the application of biomedical engineering, explains Elaine Gee, PhD, Senior Principal Algorithm Engineer specializing in Artificial Intelligence at Medtronic. It's a mission Gee is well equipped for. With over 15 years' experience in modeling, bioinformatics, and engineering, she drives machine learning algorithm development and analytics to support next-generation medical devices for diabetes management. On behalf of AI Trends, Ben Lakin, from Cambridge Innovation Institute, sat down with Gee to discuss her most recent focus: algorithm development related to glucose sensing to improve the accuracy and performance of continuous glucose monitoring devices, also known as CGMs. Editor's Note: Gee will be giving a featured presentation on Advancing Continuous Glucose Monitoring Sensor Development with Machine Learning at Sensors Summit in San Diego, December 10-12.

It seems that everywhere you turn nowadays, you hear about how artificial intelligence is breaking into one area or another that was once thought to be the hallowed preserve of humans. From developing artificial imagination, dreaming, to deep neural reasoning, these technologies are helping machines do what was previously thought impossible, such as composing music, writing novels, besting humans at various games, and navigating and learning about complex systems on their own. There's immense potential for AI to aid and assist humans in all kinds of endeavors -- might AI also help designers and architects build cities and other inhabitable environments of the future? This is something that is quite entirely possible, as this large-scale interactive installation -- created by design studio SOFTlab with the help of IBM's AI platform Watson -- is suggesting. Built for this year's Mobile World Congress in Barcelona, the structure was designed, fabricated and assembled using digital and computational tools, which in itself is not that unique.