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Artificial intelligence offers practical solutions in every
area of our lives. Today, we will discuss how it is used in the healthcare
field. Before starting or finishing the article, you can check out other
articles on my blog here.
The use of machine learning and
artificial intelligence in the healthcare field can facilitate services such as
health monitoring, managing medical records, treatment design, and even digital
consulting with the help of various data and algorithms. In this article, we
will discuss the use of artificial intelligence in healthcare, its advantages
and disadvantages.
Productive AI use in the
healthcare sector is expected to reach $17 billion by 2034. Artificial
intelligence can examine brain scans of paralyzed patients. Studies have shown
that it is twice as accurate as professionals. AI is more successful than
humans at detecting broken bones. Approximately 10% of human examinations miss
the mark. If artificial intelligence is trained on factors such as patient
mobility, pulse, blood oxygen levels, and chest pain, it can better decide
which patients need an ambulance, thus optimizing ambulance needs. Machine learning
model provides early diagnosis of diseases. It is significantly effective in
reducing the workload of doctors by helping them make decisions about
treatment.
Paperwork etc. in administrative
areas can be quite tiring and time-consuming. Artificial intelligence produces
fast and effective solutions in this area as well.
The benefits of artificial intelligence in the healthcare
sector can be listed as follows:
The disadvantages of using artificial intelligence in the
healthcare sector can be listed as follows:
We have generally talked about
the potential benefits and possible disadvantages of artificial intelligence in
the field of health. This technology will not replace doctors and other health
workers in the field of health, but will facilitate their work and play a
complementary role. It is important for authorities to make the necessary legal
arrangements to integrate artificial intelligence into the health system. In
addition, health institutions should provide the necessary training to their
personnel.