Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!

We spend hours on Instagram and YouTube and waste money on coffee and fast food, but won’t spend 30 minutes a day learning skills to boost our careers.
Master in DevOps, SRE, DevSecOps & MLOps!

Learn from Guru Rajesh Kumar and double your salary in just one year.

Get Started Now!

Artificial intelligence is getting the hype, now what are the applications?

Source – mobihealthnews.com

Artificial intelligence is a hot topic right now—but whether or not it is going live up to what some are calling the new healthcare reform is still up for discussion. Mayo Clinic Chief Information officer Christopher Ross and Pricewaterhousecooper Managing Director James Golden tackled questions about the future of AI at HIMSS18.

“In some ways [AI] could not be more hyped than it is. There is an enormous expectation for this stuff,” Golden said.

AI is already proving to be helpful in studies. The pair cited a research study out of Stanford where researchers worked with Google DeepMind to identify cancerous spots in medical images.

“A machine can read those images better than a human being,” Ross said. “Machines are simply better at seeing things and remembering things.”

AI has already been implemented in a number of different ways in healthcare. Golden outline three main areas of use: clinical decision support, clinical trials, and hospital operations.

Although AI is not yet diagnosing in a clinical setting, it can be used to help support clinical decisions through evaluating medical imaging, genomics and looking at population health trends.

In fact, the use of AI to sift through and make sense of hospital and research data has been a popular topic of discussion. However, Ross said that even though this data might be available, it is important to have some curation of the data from experts as well.

“A lot of times people come and talk to us about doing an AI project and they say just give us your data,” said Ross. “The data is important, it’s the raw material that is to be used, but the truth of the matter is that the clinical knowledge…is incredibly important. To go into that data curated well managed, available through a modern infrastructure and supported by some technical know-how then you get a much more valuable proposition.”

While AI can be used for complex problems, at the Mayo Clinic it is used for everyday solutions as well.

“The questions is where are we on the road,” Golden asked about the future use of AI.

In fact, Ross said that when the Mayo Clinic did a review of their AI use he expected to see a handful of applications. But when the numbers came in there were around 130 AI projects at the clinic so far, and most of them were being used for a smaller project to help aid clinicians in their day to day activity and not what Ross called large “moon shot” initiatives.

Ross said it isn’t about replacing humans but about helping physician get through basic work and help guide patients through their journey.

As for the future of AI, both Ross and Golden said that it is still very early on in its development. But Ross said that he is looking to some of the larger tech companies to be on the edge of the innovation curve.

“It’s clear big global leaders are going to develop the infrastructure from where this springs,” Ross said.

Related Posts

What is AIOps?

AIOps, short for Artificial Intelligence for IT Operations, is a practice that combines artificial intelligence (AI) and machine learning (ML) technologies with traditional IT operations to enhance Read More

Read More

What is Data Pipelining Tools and that are the Different Types of Data Pipelining Tools?

Introduction to Data Pipelining Tools Data pipelining tools are an essential part of modern data management processes. As companies collect more and more data, they need to Read More

Read More

What are Data Engineering Tools?

Introduction to Data Engineering Tools Data engineering is a crucial component of the data lifecycle that involves collecting, transforming, storing, and managing large datasets. With the increase Read More

Read More

What is a data science platform?

Introduction to Data Science Platforms Data Science Platforms have revolutionized the way businesses operate by providing a comprehensive suite of tools for managing and analyzing large volumes Read More

Read More

What is Natural Language Processing (NLP) tools?

Introduction to Natural Language Processing (NLP) Tools If you’ve ever asked Siri a question or talked to Alexa, you’ve used Natural Language Processing (NLP) tools. In essence, Read More

Read More

What are Emotion Detection Tools and Why Emotion Detection Tools are Important?

What are Emotion Detection Tools? Emotion detection tools are a type of technology that analyses human facial expressions, voice tone, and body language to determine the emotional Read More

Read More
Subscribe
Notify of
guest
3 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
3
0
Would love your thoughts, please comment.x
()
x