How Does Artificial Intelligence Applied In Healthcare?
Artificial Intelligence has already been implemented in the healthcare sector. Now the use of computer vision in this field is making surface and can support the rise to various applications that can prove to be life-saving for patients.
This AI-powered technology is assisting more doctors to better diagnose their patients, prescribe the right treatments and monitor the evolution of several diseases. Currently, there are several areas in healthcare where computer vision is being utilized and benefiting medical professionals to better diagnose patients, including medical imaging analysis, predictive analysis, health monitoring, among others. Below the benefits computer vision technology can assist health systems.
Precise Diagnoses
Computer vision systems offer precise diagnoses minimizing false positives. The
technology can potentially obliterate the requirement for redundant surgical
procedures and expensive therapies. Computer vision algorithms trained using a
huge amount of training data can detect the slightest presence of a condition
which may typically be missed out by human doctors because of their sensory
limitations. The use of computer vision in healthcare diagnosis can provide
significantly high levels of precision which may in coming days go up to 100
percent.
Timely Detection of Illness
There
are most fatal illnesses that need to be diagnosed in their early stages, such
as cancer. Computer vision enables the detection of early symptoms with high
certainty owing to its finely tuned pattern-recognition capability. This can be
useful in timely treatment and saving countless lives for the long term.
Heightened Medical Process
The
use of computer vision in healthcare can considerably lessen the time doctors
usually take in analysing reports and images. It frees and offers them more
time to spend with patients and provide personalized and constructive advice.
By enhancing the quality of physician-patient interactions, it can also assist
medical professionals to give consultation to more and more patients.
The
use of computer vision in healthcare supports caregivers to deliver efficient
and accurate healthcare services through its life-saving applications.
Medical Imaging
For
the last decades, computer-supported medical imaging application has been a
trustworthy help for physicians. It doesn’t only create and analyse images, but
also becomes an assistant and helps doctors with their interpretation. The
application is used to read and convert 2D scan images into interactive 3D
models that enable medical professionals to gain a detailed understanding of a
patient’s health condition.
Computer Vision for Health Monitoring
By
leveraging computer vision technology doctors can analyse health and fitness
metrics to assist patients to make faster and better medical decisions. Today,
it is being utilized by healthcare centers to measure the blood lost during
surgeries. This can assist in taking emergency measures if the quantity of
blood lost reaches the last stage. Additionally, the technology can also be
leveraged to measure the body fat percentage of people using images taken from
regular cameras.
Nuclear Medicine
As
a section of clinical medicine, nuclear medicine deals with the use of
radionuclide pharmaceuticals in diagnosis. Sometimes computer vision techniques
of remote radiation therapy are also referred to nuclear medicine. In
diagnostics, it mainly utilizes single-photon emission computed tomography and
positron emission tomography.
Computer vision not only helps medical professionals in saving their valuable time on
basic tasks but also saving patients’ life. The applications of the technology
for medical use has to perform by extending current ways that it’s already
being used and adding a layer of creativity and imagination.
Source: analyticsinsight
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