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An autism diagnostic tool that you can use on your phone is headed toward FDA approval. How does it work? Parents answer several basic questions about their child and then upload a video of their child performing basic tasks at home. Then a machine learning algorithm sifts through the information to predict the likelihood of autism.

What are the implications? It can take a long time for parents to figure out if their children have autism and get them help early enough to make a difference. This tool will help the first problem. The second problem, the shortage of care, is still a concern.

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A company named Montfort won the Henry Ford Health System’s AI challenge. Its product? An app that daily records and analyzes data from patients who suffer with diseases like Parkinson’s and normal pressure hydrocephalus (NPH). It non-invasively tracks how patients use their smart devices and also links to wearables in order to measure motor, cognitive, affective, and physiological indicators. This easily accessible daily data helps doctors to better assess patients and tailor their approaches to individual needs.

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For some people, working with health insurance and healthcare providers to figure out billing post a doctor’s visit can be an impressively frustrating experience. If you’re one of those people and need to visit the doctor frequently for testing, ask yourself this, what if you could conduct some of your routine medical testing from home—with your very own smart device—and simply send your doctor the results? How would this change your life? That’s what this AI is hoping to help you do, conduct approved medical test from home.
It’s starting with urinalysis, a test that can give insights to people dealing with various health problems, like infections, chronic illnesses, and pregnancy-related complications. How it works is you take a picture of your sample and use it in conjunction with a dip stick to test for certain conditions. For some people, this tool will significantly reduce the number of doctor’s visits they need to make, and they can easily share the test results with the appropriate medical personnel. For everyone else, hopefully this tool soon expands to other offerings, bringing more relief to people experiencing healthcare red-tape fatigue.

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It sounds morbid to predict the likelihood of someone dying within the next year. But when you think about identifying these people so they can experience their last days in their own homes sans rigorous and painful treatments that probably won’t prolong their lives, it takes on a different hue. This AI aims to change that.
According to this article, many physicians give people more hopeful diagnoses than their situations may merit. It seems nice to give someone hope while they receive devastating news, but the unintended consequences may not be. A hopeful diagnosis may prolong treatment and lead to a poorer end-of-life experience, a situation they might not choose if they understood the likelihood of their earlier passing. Eighty percent of people in the United States say they’d like to pass away in their own homes if possible, but up to sixty percent end up dying while receiving aggressive medical treatments.

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The portable ultrasound device made by Butterfly is not only an amazing piece of hardware (when you consider that it can take ultrasound images better than much more expensive and bulky devices) but also this hardware takes it one step further by including artificial intelligence. They call it Butterfly iQ.

It can recognize signs of cancer, among other things, meaning that not only can ultrasound imaging be taken from a small device that connects to your iPhone, but it can also do some interpretation of those images for you. This could not only potentially save thousands of dollars in expensive imaging fees, but also your life.

Doctors have tons on their plates, so getting help with some of the easier tasks would lighten their loads, helping them focus on more demanding tasks. Babylon Health is working on this AI to do just that. It’ll add a functionality to actually diagnose medical problems, starting in the UK.

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Trained initially to help doctors make better decisions, this AI is now available to you as a patient. It became smarter on a database that helped physicians, and it honed itself as medical personnel used it.

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