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Google Health Announces Promising Results In The World Of AI Healthcare With Smartphone Technology

It’s no surprise to see Google Health unveiling its desires to speed up the world of healthcare with promising results using smartphone technology and machine learning.

Today, the company appears to be on an exploration that it is dubbing as ‘The Check Up’. And a huge part of it means going back and forth on what good artificial intelligence (AI) has managed to bring out from doctor’s clinics around the globe.

Think along the lines of making use of simple equipment to generate the most accurate results.

Moreover, one of the newest revelations includes the use of attached microphones on smartphones as stethoscopes.

By this method, detecting circulatory abnormalities such as murmurs has never been easier.

For those who may not be aware, Google Health turned heads when it announced its research desires of using smartphone cameras for measuring both heart rates and respiratory rates.

Similar to this, the company’s new approach can be seen soon through telehealth, with high hopes of saving both patients’ time and the need to visit the doctor’s office.

On a more large-scale approach, Google Health also speaks about ‘early promising results.’ And here is where they will use already existing clinical cameras to assist in the detection of eye conditions relating to Diabetes.

This will help the company gain funding for a greater number of clinical trials regarding the use of smartphone technology that does the same thing.

On average, Google Health has spoken about 350 patient screenings on a daily basis in Thailand, where nearly 100,000 patients have been treated with Automated Retinal Disease Assessment, which is an image processing engine.

But with the good comes the bad and Google Health shared so many obstacles that came their way in terms of healthcare and trials.

Researchers revealed how clinicians dealt with small issues like bearing flashes from the phone’s camera, switching the lights off, or pulling a cover over patients' heads.

Yes, the results were out in ten minutes as opposed to the traditional 10 weeks but critics believe that healthcare isn’t as simple in approach as it may appear.

For instance, what happens when the hospital’s lights go out? What does a doctor do without access to the internet? Moreover, even if the diagnosis is correct, will a patient be able and willing to miss work and travel far to reach a particular hospital where the AI technology is available?

At the end of the day, one must wonder if Google’s innovative machinery could actually operate one whole healthcare system that really works.


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