5 Examples of Computer Vision in Healthcare

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Various forms of artificial intelligence (A.I.) and robotic technology are becoming more common in the healthcare setting. In fact, A.I. will continue to play an important role in the healthcare industry, especially through the use of computer vision systems

It can help physicians to diagnose patients better, prescribe the best treatments, and even track several diseases. Computer vision uses algorithms to process images to make quicker and more accurate diagnoses than doctors can make on their own. 

Below are five ways that computer vision technology can be a tremendous asset in today’s hospital and healthcare systems.

More Accurate Diagnoses  

A computer vision system can minimize false positives while providing for more accurate medical diagnoses. This technology can lead to eliminating the requirement for redundant surgeries and even costly therapies. 

Computer vision algorithms, trained by using a huge amount of training data, can detect the tiniest hint of a disease or a condition that may be missed by physicians because of their sensory limitations. Using computer vision in medical diagnosis can offer better levels of precision.

Timely Detection of Illness

For a patient to have a better chance of survival, most lethal diseases have to be diagnosed in its earliest stages. Cancer is a great example. Computer vision technology can detect early symptoms of lung cancer or breast cancer with high certainty due to its precise pattern-recognition capability. This is beneficial in the timely treatment of patients and can ultimately help to save more lives.

Medical Imaging

Computer-based medical imaging, a form of computer vision, has been aiding physicians for a while now by developing, analyzing, and interpreting images. These types of systems have been reading and converting 2D-scan images into 3D-models that allow physicians and other medical professionals to have more detailed knowledge of their patient’s current health condition.

Computer Vision for Health Monitoring

Through computer vision, healthcare professionals can analyze wellness metrics to help their patients to make better health decisions. Health and wellness centres can use this technology to measure the amount of blood that was lost during operations, such as a C-section for example. With this information available, it can help a physician determine if an emergency measure is necessary once the amount of blood lost reaches a certain stage. Computer vision can also be used to measure a patient’s body fat percentage by analyzing photos taken from a regular camera.

Improve Physician to Patient Interactions

Finally, with the use of computer vision technology, physicians can minimize the amount of time they currently spend reviewing reports and images and get back to what they do best and that’s caring for their patients. They can spend more time talking directly with and listening to their patients, offering more helpful advice, and making their own personalized recommendations. Not only does computer vision enhance the quality of this one-on-one time patients crave, but it can also help medical professionals provide better consultations with each of their patients.

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