Абай қҰнанбайұлының 175 жылдығына арналған «гуманитарлық ЖӘне қОҒамдық Ғылымдар: жетістіктер және мүмкіндіктер»

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sbornik-tezisov-07.10.2020g.

The results of the study.
Conclusions.

Materials and research methods.
AI techniques work to gather information about the
environment.It has method of interpret the information, model the information.Most
applications of AI in medicine read in some type of data, either numerical (such as heart rate
or blood pressure) or image
-
based (such as MRI scans or Images of Biopsy Tissue Samples)
as an input. The algorithms then learn from the data and churn out either a probability or a
classification.
The results of the study.
AI have recently made huge advances in automatically
diagnosing diseases, making diagnostics cheaper and more accessible.Such as: assessing the
risk of sudden cardiac death or other heart diseases based on electrocardiograms and cardiac
MRI images or Detecting lung cancer or strokes based on CT scans. Another positive result is
making shorter the time to produce the drug and reducing the required cost.Many of the
analytical processes involved in drug development can be made more efficient with Machine
Learning. And we can also personalize treatments, and even edit genes by this works.
Conclusions.
According to some ideas, artificial intelligence can take the role of
doctors.But this shouldn't be forgotten machines lack human qualities such as empathy and
compassion so therefore patients must perceive that consultations are being led by human
doctors.AI commonly handles tasks that are essential, but limited enough in their scope so as
to leave the primary responsibility of patient management with a human doctor.

164
We are now just in the beginning. If we more digitize and unify our medical data, the more
we can use AI to help us find valuable patterns.As these systems become better validated,
they will be given more responsibility. With developments case point to the thesis that
artificial intelligence will eventually work independently and will constitute a significant part
of the workforce.

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