Blog: Artificial Intelligence is Going to Disrupt Healthcare — Here’s How
There’s been a lot of talk around how artificial intelligence is going to diagnose diseases — and it’s true ai is going to disrupt the medical field.
Creating a medical tricorder
A medical tricorder is a portable device capable of diagnosing diseases in humans and can automate diagnostics.
Disrupting Healthcare Around the World
Researchers at Google developed a deep learning algorithm that can automatically detect the condition with great accuracy. According to one paper, the software had a sensitivity score of 87 to 90 percent and 98 percent specificity for detecting diabetic retinopathy, which they defined as “moderate or worse diabetic retinopathy or referable macular edema by the majority decision of a panel of at least seven US board-certified ophthalmologists.”
Then, doctors at a hospital in London decided to develop it even further. They trained an algorithm that could recommend the correct treatment approach for more than 50 eye diseases with 94 percent accuracy. “They compared that to eye specialists, and the machine didn’t miss one referral, but the eye doctors did,” doctors said. “The eye doctors were only in agreement about the referrals 65 percent of the time. So that’s the beginning of moving from narrow AI to triage.”
Doctors in China used AI to diagnose diseases in the colon during a colonoscopy. The AI system significantly increased the detection (29 percent compared to 20 percent)
Long story short, machine vision is starting to improve, and soon there is a possibility that we can have a handheld machine that can diagnose any disease.
Obviously, like with any technologies, there are going to be obstacles. In this case, privacy and data problems come up.
Machine learning is best when lots of data is fed into an algorithm — the more data, the better. If we’re going to do deep learning and provide feedback, the only way it’ll work well is if we have all a person’s data: sensor data, genome data, microbiome data, medical records. It’s a long list. However, counties like Estonia have found a way to allow people full control of their personal and medical data.
Giving people their data will help with security.
Right now, our data is stored on massive servers and clouds. One of the ways for data to be safe and secure would be to store it in the smallest units possible — which could be helpful if each person was responsible for their own data.
There are so many other ways artificial intelligence can be used in the medical field; these are just a few. But even with these, imagine the implications it could have in the future and what it would mean.
AI can help with time-consuming tasks too, so what if in the future, artificial intelligence is note taking by voice and keeping records of the patients visit if ever needed?
There are a lot of possibilities.
“It’s likely that machines will be smarter than us before the end of the century — not just at chess or trivia questions but at just about everything, from mathematics and engineering to science and medicine.” — Gary Marcus
- Diagnosing with artificial intelligence is going to make diagnostics more accurate and precise
- Countries around the world have started to implement this, like London, China etc.
- There is data that shows that using machine vision results in more accuracy
- Diagnosing isn’t the only way AI is being used in healthcare, for example, it can also shorten wait times
- However, there are obstacles, like data and privacy which could be harmful effects to this
- But those obstacles do have a possible solution, by allowing each patient their data.
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