3 Ways Deep Learning is Improving Healthcare

Deep learning’s benefits are wide-ranging, and now AI and machine learning are also having a great effect on the healthcare industry, including battling cancer. It can speed up diagnoses and make predictions that could be life saving. These advances mean people will be able to acquire important health information so much easier, with doctors, in a sense, partnering with AI, to ensure a better quality, more efficient, and more successful healthcare service. So how else is deep learning improving healthcare?

Manual labour is reduced

Using Arterys as an example, we can see how AI can change things significantly for healthcare. Arterys examines blood flow and MRI images, generating editable contours, as well as an accurate picture of a heart in a matter of seconds, something which use to take an hour. Previously this would have required manual labour, taking longer, but now it can be left in the hands of AI, which frees up time for doctors to work on other things.


Diagnoses are easier, quicker, and more accurate

Trying to remember innumerable conditions and symptoms when consulting a patient is more than a difficult task for anyone, let alone doctors with all of the pressure they have on them. With AI, this can be made a lot easier, as it can be used to store this information. It can also be used to process symptoms given to a doctor by a patient, to then make a competent diagnosis, using machine learning to improve its results as it advances. The AI algorithm, which could fit on a mobile device, is able to learn about all conditions using pictures and information fed to it, making getting to the root of unhealthy symptoms much quicker and easier, saving time and money for both the patient and the doctor.



An example of AI that is currently doing this is Ada. Ada is diagnostic AI software developed to provide a diagnosis in response to someone providing it a list of symptoms. It can also work alongside Amazon’s Alexa, giving you questions as you tell it the symptoms, which will you reach a better diagnosis. Although this kind of software doesn’t replace a doctor, it can still make it easier to self-diagnose.


Time and money are saved

AI is not only beneficial in reducing manual labour and its ability to make diagnoses, but it can also help reduce costs. With AI, the workload expected of doctors can be decreased, allowing them to focus on more important responsibilities in their position. AI is able to handle data entry and databases, as well as lot of menial jobs that eat into a doctor’s time, becoming more efficient as it goes, learning more and more, saving money that may otherwise be spent on getting these administrative and bureaucratic jobs done.



AI is the future for many industries, including healthcare. If you would like to know more about how AI could benefit you, please don’t hesitate to get in touch. We would love to hear from you.