How Has Artificial Intelligence (A.I.)  

Revolutionized Healthcare, and

How Will A.I. Continue to Improve Healthcare?

Simply put, artificial intelligence (A.I.) is a machine learning system that is able to adapt and learn all by itself. AI is incredible. Now, because AI is such an advanced platform, there are so many uses. One of the ways that AI is used is for healthcare is image processing technology, which has improved diagnosis in healthcare. Another way AI has revolutionized healthcare is through an app called Sugar IQ, which helped patients with Diabetes through deep learning. But finding ways that AI can help healthcare are ongoing. A way that AI is contributing to the future is by that diagnosis is becoming more efficient, which means we can diagnose more problems, diseases, and people.

How AI uses Image Processing Technology, to improve Healthcare

One way AI is revolutionizing healthcare is through image processing technology. Image processing technology is one of the things ran by a system called a neural network. Image processing technology has improved healthcare by having research data that is critical to diagnosing patients. Here are several examples of how image processing technology is being used to diagnose medical symptoms:

• Neural Network Review of X-Rays: After a patient has an x-ray taken, the film is scanned through a neural network machine, and the neural network software assesses the results of the X-Ray.
• Facial recognition software: Facial recognition software is being used to diagnose harder-to-find symptoms. For example, diagnosing genetic disorders. It uses a machine learning algorithm to complete this, which means in other words that the
• Chatbots: Companies are using AI-chatbots with speech recognition to identify patterns in patient symptoms. This helps form a potential diagnosis.

How AI, Through Sugar IQ, Has Improved Healthcare:

Sugar IQ:

Sugar IQ is an application that is designed to keep people’s glucose sugar levels level. (This app is just for diabetic patients) The app also helps you figure out the snacks that are challenging for your blue one levels based on hardware technology called the Guardian CGM Connect. The Guardian CGM connect is a tiny device that you tape to yourself, and every 5 minutes it inducts such a small needle into your body, that you can’t even feel it. The device then uses data that you insert about what you have eaten, then, the AI kicks in. The AI processes what you have eaten, and learns about how your body developed overtime. Then, the AI software recommends what food for you to eat, to the point to keeping your sugar glucose levels at a normal rate. Sugar IQ is revolutionizing people with diabetes through deep learning.

How AI has diagnosed problems in Healthcare:

Watson is IBM’s machine learning platform for AI. Watson’s first project was trying to use AI to detect cancer. For Watson to do this for the first time, it took 3 years. For the second type of cancer, it took 1 year. A big improvement. The third type which is where Watson is right now, took 4 months. Overtime, Watson adapted and got faster at detecting cancer, because it developed new ways to identify, and diagnose cancer.

How Will AI Impact healthcare In the Future:

Diagnosis is the future of AI. It is developing a fast rate. I mean so fast. Diagnosis is a big part of healthcare, and now since healthcare has many more problems, the AI is discovering how to diagnose more diseases and problems, based on the fact that there are more problems that are developing.

Conclusion:

These two reasons show how AI has revolutionized healthcare, and the example of how we can improve AI in the future shows how we can contribute to a brighter future. AI has made such an impact on the world in general, and in healthcare. Who knows, maybe one day your life can change due to AI.

Generally speaking, I really loved my capstone site visit. It really was a great experience and it inspired me to be a part of AI development in the future. I met two people that were named Matt Calgary Kathy McGrody both very inspirational, and showed me how AI can contribute and make Healthcare data more accurate, and better. Humans have been working with this technology for years, and having a kid like me visit IBM, and see Watson and AI software, well, that is pretty big.

    I had a great time their. Unfortunately there was no photo of video content recorded, because I was not allowed to. I will break up the next two paragraphs into each person that I met, and what I learned from each of them.

First, i met someone named Kathy McGrody. I learned about the basic Architecture, and how the place that i am visiting is so special to IBM, and their success. What she said is that the Architect that designed the building, his name was Wallace Eckert. He was modern by the means of how it was built in 1964, and the long glass panels represent the true beauty of the building.

Here are some pics:

Anyways, that’s not the point. I mainly learned from Kathy that how AI has contributed to Healthcare is really big because of how the insights, and the data that Watson is feeder is so accurate, that Watson comes up with a great solution, that has came in handy many times, and still continues to. Here are the full notes that I have: Link

What I learned from Matt Calgary is the development, and actual Software of the new app SugarIQ for iOS devices. It is not yet out on the App Store as of the date 5/29/18, but it will come out in the next month or two. SugarIQ has a built in Watson software to it, and it is for people with diabetes. Their is a wireless device called Guardian Connect. Guardian connect is a tiny device that injects a needle into your skin every 5 minutes. Don’t worry, you don’t even feel it. Anyways, then the data that it collects about your blood pressure, sugar, etc., and then Sugar IQ makes references and can see what you ear, and it asks questions a to know you, and using deep learning platforms of AI, is able to get to know you better and make references to you better. For example, if the app recognizes that you play soccer every Saturday afternoon, it will remind you to pack a snack with a lot of calories such as a granola bar, so your blood sugar goes too low. Also, Sugar IQ will notify you on your iOS compatible device if your blood pressure or sugar is too high, or low. I found this pretty cool. Here are a couple of videos on Sugar IQ:

• https://youtu.be/DNaPvU7JpR4
• https://youtu.be/urV6E_L3fH4
• https://youtu.be/mOiBGdme1jM

After that, I really enjoyed the site visit. It was fun, I got to see some really cool parts of AI in Healthcare, I learned a lot, and most of all I was inspired to be part of AI in Healthcare In the future, and to make the world better where it needs to be improved on.