Just like any other sector, healthcare is also associated with humungous data. This data has greatly increased the potential of computer vision applications. Have a look at the top 10 computer vision applications in healthcare.

Blood loss measurement

There was a time when doctors could just guess how much blood was lost. However, with computer vision in place, doctors can now measure blood loss during childbirth by using an AI-powered tool to analyze images of surgical sponges and suction canisters.

Cardiology

Cardiologists rely on computer vision tools heavily in order to detect anomalies, visualise arteries and the flow of blood, calculate variables in cardiac MRI, electronic segmentation, and a lot more.

Tumor detection

As known to many, brain tumors spread rapidly to other parts of the brain and spinal cord as well if left untreated. Thus, early detection is crucial than ever, as the primary objective is to save the patient’s life. Computer vision makes the detection process less time-consuming and tedious.

Cancer Detection

Cancer detection is not as easy as one might assume it to be. With the help of computer vision, it is possible to differentiate between cancerous skin lesions and non-cancerous lesions effectively.

Timely detection of symptoms

It is observed that tests and examinations do not detect early signs of all diseases. Computer vision turns out to be no less than a saviour here. The algorithms here can identify the pattern and alert doctors that the patient indeed has slight symptoms of a particular illness, thereby making it a lot easier to deal with the disease.

Home-based patient rehabilitation

A common observation is that most patients prefer to rehabilitate at home after an illness as compared to staying at a hospital. With computer vision in place, it is quite easy and convenient to provide patients with the necessary physical therapy and track their progress virtually. In addition to being convenient, it is economical too.

Combating Covid-19

We all have had a tough time dealing with the deadly coronavirus. As we have not yet reached a stage with zero Covid-19 cases, computer vision applications can aid in the diagnosis, control, treatment, and prevention of Covid-19. Digital chest x-ray radiography images are one of the ways of doing so.

Minimising false positives

Treating someone for a disease they don’t have is something that has both short-term as well as long-term ill effects. Computer vision tools can process a vast amount of data and identify subtle changes in patterns following which there is a reduction in the number of false positives. Another advantage is that the detection of minute symptoms is very much possible.

Medical imaging

Computer vision helps create 3D images of 2D pictures and scans, something that has become a crucial aspect of the healthcare industry. The Computer vision tools can read the images and analyze them to highlight symptoms and signs of disease thereby giving the doctors a better understanding of the patient’s health condition.

Surgeries

Well, what can get better than computer vision playing an integral role in surgeries? Computer vision tools are capable enough of helping doctors in making crucial decisions while performing complex surgeries.