How AI Continues To Transform Healthcare

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How AI Continues To Trans form Healthc are
Things AI is doing for healthcare arent ?c?on
anymore. Ar??cial intelligence is changing
the healthcare industry and doing it well.
AI and deep learning are doing some of the things
humans do- only quicker, better, and
more economically. Frost Sullivan predicts
artificial intelligence (AI) will help the
American healthcare industry save over 150
billion by 2025.
AI-powered healthcare solutions are helping with
medical diagnosis, drug discovery, medicine,
and more. This article will drill down and give
you insights into the substantial ways Artificial
intelligence is playing a huge role in healthcare.
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AI and the path ahead
Artificial intelligence will transform the lab of
the future. Healthcare data platforms would
help doctors and scientists better understand
diseases and their treatments. Biopharmaceutical r
esearchers have achieved a lot in this space in
the last couple of years, but were still far
from having a systematic process for medical
intervention for different patients. There are
limits associated with reductionism in medicine,
and AI can bring in a step change.
The Precision
Robot-assisted surgeries allow medical
professionals to perform complicated procedures

with precision. These surgeries are minimally
invasive and boost doctors precision.
AI also helps diagnose diseases early, making the
treatment overall more effective than the
traditional diagnosis.
A Nature research article found that an AI system
surpassed human doctors in detecting
breast cancer, enhancing the efficiency and
accuracy of cancer screening.
Different lifestyles, genetics, and environments
call for precision medicine.
Massive parallel sequencing, or NGS, is capable
of sequencing a persons genome
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with insane speed (Compared to traditional
sequencing that almost took a decade to achieve
the same!).
The Prediction

A Stanford study found that AI was better able to
predict how long the patients have to live (The
AI algorithm showed an accuracy of 90 compared
to 64 for human doctors).

The complexity of human bodies makes drug
discovery a long process. Some scientists believe
AI will expedite the process and have a drug
available for treatment in 1/10th of that time.
Artificial intelligence can deliver results here
at an unprecedented pace and scale.

AI can predict the diseases an individual is
prone to, treatment options, and the readmission
risk in certain patients.
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A Grain of Salt
AI algorithms can amplify existing biases in data
sets. Since medical data can be very biased, we
must build AI models that are fair and on the
level. The other challenges that can come up are
integrating engineering with complex human
biology, data privacy, upgrading technology
infrastructure, and more. Mastering these
complexities will be arduous but
equally impactful.
The Editors Note
Technology cant replace human expertise, but the
convergence of the two will help drive innovation
swiftly. Artificial intelligence is helping
healthcare practitioners and experts eliminate
manual tasks. Companies need to understand and
define their north star to make progress in the
right direction, and AI will help them move there
faster.
Human ingenuity combined with the power of AI and
machine learning will not only help achieve the
present results at a breakneck speed but also
achieve things the healthcare industry previously
deemed impossible.
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