Artificial
intelligence has expanded its footprints into many significant fields giving
new opportunities for AI developers to improve the productivity with better
efficiency. Healthcare sector is one of them AI is going to play a vital role
to improve the treatment process more autonomous with better results in terms
of disease diagnosis and medical care assistance.
Further
with the more improvement in AI applications healthcare sector will be getting
more equipped facilities to provide the better medical treatments at faster
pace. Actually, there are many subfields AI is used and if you don’t know what
is the use of Artificial Intelligence in healthcare find below few examples
where AI is extensively used at ground levels.
Keeping
the Managing Medical Records
AI in the form of robots collecting the data stores
it and can reformat the same with better accuracy. It can keep the medical
records, patients data and other information with option to retrieve the same
as per the customize needs.
Doing Monotonous Jobs
Repetitive task in hospitals like Analyzing tests,
X-Rays, CT scans, data entry, and other routine works can be done with the help
of robots with maximum accuracy. Cardiologists and radiologist don’t need to
work except critical cases to diagnosis and analyze the medical reports and
other data used while providing the right medicines and care.
Virtual Consultation and Nursing
AI-based applications are giving the medical
consultation virtually on the basis of personal medical history and common
understanding into medical fields. Such apps works like reporting the symptoms
online using the speech recognition to compare against a database of illness
while recommending the best action taking into account the user’s medical
history. The digital nurses also helping people monitor patient’s condition and
follow up with treatments, between doctor visits while answering asked
questions about medications and whether symptoms require a doctor visit.
Medication Treatment Management
AI-enabled apps are used to monitor the use of
medication by a patient. A smartphone’s webcam is partnered with AI to
autonomously confirm that patients are taking their prescriptions and helps
them manage their condition. It also helps to keep monitoring the body health
conditions and generate alerts if any alignment noticed during the treatment
process. It is also designing the management of overall treatment of process of
a patient along with dieting chart and medicine taking timing and other
schedules.
Strictness towards Medicine
One
of the best use of AI in healthcare is that it is helping to precisely diagnosis the critical
diseases like cancer etc. at early stage helping doctors to provide the timely
and effective treatments to get recover the patients without any risks. AI-support
applications or machines can spot cancer and vascular diseases early and
predict the health issues people might face based on their genetics.
Health Monitoring and System Analysis
AI
is not used in fitness tracking devices like Fit Band that monitors heart
rates, sleeping patterns and walking activities helping users to generate
alerts and do the exercise accordingly. These devices also gather data of such
users to make it available with additional data points on the needs and habits
of patients to improve the AI-supported devices work with better results. It is
also allowing users to highlight mistakes in treatments, workflow
inefficiencies, and helps area healthcare systems avoid unnecessary patient
hospitalizations.
Although,
trusting AI fully in the healthcare industry is not acceptable at various
locations providing advance medical facilities. But with the time being full
trust on such machines will become strong for independently diagnosis diseases
and make decisions. However, over the past years, a significant advancement in machine learning as a service and better quality in training data has contributed in
healthcare by assisting in discovering insights and processing data faster than
humans. Cogito is providing healthcare
trading data sets like medical imaging and image annotation for healthcare industry to make AI more useful in this sector.
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