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Using Computer Vision in Healthcare

Using Computer Vision in Healthcare: How computer vision is being used in the medical field

Every day, Computer Vision is becoming more relevant in various fields, including healthcare. There are already examples of its advantages and uses (well show you some more examples further in the article)

Computer vision involves the use of algorithms, machine learning, and deep learning techniques to analyse and interpret digital images and videos. Essentially, it allows a computer to “see” as if it were a human.

The advantages of using Computer Vision in Healthcare

Computer Vision can give support to any task that requires a trained eye to see, diagnose and discern visual information. Since computers don’t get distracted or tired, many tasks can be fulfilled faster and with more accuracy than when done by humans.

With proper training, computer vision can identify disease symptoms that aren’t perceptible to the human eye, managing to detect them much earlier, increasing chances that specific diseases can be cured.

This way, computer vision can be an important assistant to any medical professional.

Where can Computer Vision be used in healthcare?

The number of possibilities that computer vision can bring to healthcare is enormous, and everyday more possibilities are unveiled and assessed.

Here are some of the use cases for computer vision in healthcare:

  • Oncology and radiology – CV is used to interpret medical imaging faster and more accurately than before. Tumour growth progression, tissue analysis and cancer detection can be performed at increased speeds, leading to better and faster treatment options.
  • Dermatology – Visual sign and pattern analysis are enhanced through CV, to better identify pathologies that may be crucial for a proper diagnosis and early detection of skin conditions.
  • Cardiology – Through the use of CV, patients with increased cardiovascular risk can receive improved care, as medical professionals are able to interpret more data in greater depth and much faster.
  • AI diagnostics – Diagnostics are an integral part of modern healthcare, and with the use of computer vision, they have become faster and more accurate. Medical images are analysed quicker for any disease signs, helping make decisions in a timely manner.

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