5 Ways Computer Vision is Revolutionizing Healthcare

Computer Vision is an exciting field within Artificial Intelligence (AI) that can read scans, videos and images, then generate actionable information from them.
In the last few months, as Coronavirus (COVID-19) has swept the world, changing how we live and work, Computer Vision technology has taken on a new level of importance. Coronavirus has infected over a million around the world, so far killing over 40,000, according to daily updates from the World Health Organization (WHO).
It’s a deadly and highly transmittable virus. Consequently, lockdowns and quarantines are in-force across dozens of the most affected countries and regions. People are working from home, or furloughed, or even out of work as a result. Schools and educational establishments are closed. Travel is dramatically reduced. All non-essential businesses are closed, with social distancing actively encouraged and enforced.
Impact on the healthcare sector
Healthcare services around the world are scrambling to look after patients and keep functioning. Everything that can be done to make detection, testing and tracing easier and more effective is being done.
Coronavirus is an unprecedented global pandemic. At this point, the aim is to reduce the spread, until a vaccine is developed and life can return to some kind of normal. We will overcome this. But it will take us working together, in healthcare, government, and business, in completely new ways.
The frontline of this fight is the healthcare sector. Some countries are handling detection of cases in different ways. In Wuhan, China, where the outbreak started, radiological AI solutions from a company known as Infervision, that were installed in 2015, are now part of the fight to detect this deadly virus, and therefore reduce the spread.
Computer Vision as a Coronavirus detection solution

Infervision’s AI-powered Computer Vision devices are now being used in China to “detect possible coronavirus lesions in the CT scan, and to measure their volume, shape and density”, according to several reports from Wuhan.
With the AI power of the computer vision systems, a chest Computed tomography (CT) scan can be analyzed in 50 seconds. Quickly detecting whether or not a patient has COVID-19, depending on whether there are lesions on the lungs. As more CT images of lungs are fed into the AI-powered system, it’s becoming more accurate at detecting the relevant symptoms.
In another study, AI and Computer Vision technology is being used to create a deep learning model to differentiate Coronavirus from pneumonia and other lung diseases. Doctors and scientists collaborated across China, using it to identify cases in comparison to other chest problems that exhibit similar symptoms.
Beyond these immediate and valuable examples, Computer Vision was already making an impact across the healthcare sector. Let’s look at a few other ways this technology was already proving its worth in the medical world.
4 other examples of Computer Vision in healthcare

Before this virus emerged, there were already other ways Computer Vision and AI was proving useful in healthcare.
1. Medical imagery and precession medicine
Medical imagery was a long-established field in healthcare before Computer Vision became mainstream. Now with the integration of Computer Vision technology, it strengthens personalized medical plans, decision making and care assistance.
It’s already helping doctors, across a range of specialisms, with image annotation, image segmentation, multimodal image fusion, and other possibilities that didn’t exist until recently. A wide range of specialist systems are being evaluated as part of FDA trials. Some that have already being approved are playing a role in the diagnosis of patients, supporting decision making and helping doctors create more accurate and effective treatment plans.
2. Medical startups using Computer Vision solutions
Many of the largest tech compares in the world have already got actively involved in this sector. Google, IBM, and other giants have; although where we are seeing the most exciting advancements are coming directly from startups developing niche solutions.
One company, Zebra Medical Vision, has developed a Computer Vision solution to identify coronary calcium scores. Another firm, Artery, has developed something similar to detect the flow of blood through the body without an MRI. Bay Labs are using another solution based on the same principles to detect cardiovascular disease using ultrasounds.
It takes years of training for doctors and lab technicians to detect health conditions. Especially the rarer, more difficult to diagnose ones, which means mistakes can be made. Whereas, with an AI-powered and cloud-based solution, the number of images being analyzed in the system will increase accurate diagnosis.
3. Making healthcare applications more accessible
Continuous improvements in hardware and smartphones are making a scientific future more possible in the here and now. When it comes to Computer Vision technology, this means however images – either videos or pictures – are taken, they can be fed into AI and ML-powered systems and used to diagnose diseases outside of a medical environment.
4. Detect diseases at an earlier stage
Another application for this technology is the detection of disease at earlier stages. With more data points, more images and videos being processed, it should make it easier for AI-powered systems to help doctors diagnose what it going on sooner. When diseases are identified at an earlier stage, outcomes improve for patients.
Medical professionals can introduce the right treatments at the right time. None of that is possible without the right technology backing-up the insights and training of medics.
Right now, Computer Vision is playing a role in the fight against Coronavirus. But in the last 5 or more years, it was already playing a key role in a wide range of medical environments.
Interested to learn how computer vision and AI tools can help your business? Contact us to talk to our tech experts and business analysts.

Guided by

Share your love


  1. Ӏ am extremely impressed with your wгiting skilⅼs
    as well as with the layout ⲟn your weblog. Is
    this a paid theme or did you customize іt yourself?
    Anywaʏ keep up the excellent quality writing, it’s rare to see a great blog like this
    one these days.

  2. First off I would like to say superb blog! I had a quick question in which I’d like to ask if
    you don’t mind. I was curious to know how you center yourself and
    clear your thoughts before writing. I’ve had a hard time clearing my
    mind in getting my thoughts out there. I truly do take pleasure in writing however
    it just seems like the first 10 to 15 minutes are
    generally wasted simply just trying to figure out how to begin. Any recommendations or tips?
    Many thanks!

  3. I Ьelieve that is among the most importаnt info for me.
    And i am hаppy reading your aгticle. However want to statement on some bаsic things, The website ѕtyle is
    ideal, the artіⅽles iѕ in рoint of fact great : D.
    Good process, cheers

  4. When I initially commented I clicked the “Notify me when new comments are added” checkbox and now each
    time a comment is added I get three e-mails with the same comment.
    Is there any way you can remove people from that service?
    Appreciate it!

  5. I know this if off topic but I’m looking into starting my own blog and was
    curious what all is required to get setup? I’m assuming having a blog like yours would
    cost a pretty penny? I’m not very web savvy so I’m not 100%
    sure. Any suggestions or advice would be greatly appreciated.
    Thank you

  6. An outstanding share! I’ve just forwarded this onto a co-worker
    who has been doing a little homework on this.
    And he actually ordered me breakfast due to the fact that I discovered it for
    him… lol. So let me reword this…. Thanks for the meal!!
    But yeah, thanx for spending the time to discuss this topic here on your website.

  7. Hey! This is kind of off topic but I need some advice from
    an established blog. Is it hard to set up your own blog? I’m not
    very techincal but I can figure things out pretty quick.
    I’m thinking about setting up my own but I’m not sure where
    to start. Do you have any ideas or suggestions? Appreciate it

Leave a Reply