How Great! AI Has Been Helping Health System



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There are more and more demands in using AI to help health care sectors. There two more companies I learned today that have been contributing to solve problems in providing health care.

BnevolentAI is working with the world-class pharmaceutical company Eli Lilly to tackle some of the complicated diseases such as CKD.

Current AI, with more deep learning, seems to gain more and more credibility.

In 2021, the Eko AI software has received an award called the Best Use of Artificial Intelligence in Healthcare. What the software does is a screening heart rate to save the data seamlessly. It seems it’s been used by many clinicians and patients. The device is also listed in one of the 29 FDA-approved medical devices, using AI/ML technology below.

“With our deep learning algorithms we are delivering on this commitment, enabling more clinicians to make patient care decisions sooner, based on patient sounds and ECGs. Thank you to MedTech Breakthrough for acknowledging all the work and innovation our team and our collaborators continue to pour into our products for the benefit of caregivers and their patients globally.” — The chief medical officer at Eko.

As you may know, clinical decisions can take days and weeks. Heart diseases are the top killers (sources 1, 2 from WHO), across many countries and it seems to fit well in decision making. AI can potentially save clinicians’ time, and many lives across the world.

So, if AI can be used in other settings, at home, or remote diagnosis, it may also save many clinicians’ time and many others’ lives, or even prevent or delay the onset of diseases. I guess there are many people who are thinking about it or even working on it.

In clinical settings, AI actually has been used in an effort to prevent blindness. Eyes as another important “organ” in our body, the innovative AI has been helping eye doctors to analyze images from the OCT scan with a recommendation for treatment.

How the AI spills the beans:

Image analysis from the OCT scan is done in seconds. Showing the map of types of tissues and diseases it’s comparing and analyzing to the eye professionals. So the eye doctors know what the “AI is thinking”. Then it gives the potential diagnoses in percentage and recommendation.

This way patients spend less time waiting for the results and can have appropriate treatment early enough to avoid exacerbating eye conditions.

AI/ML

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