This document discusses how artificial intelligence is transforming the healthcare industry. It begins with an overview of AI and its applications in healthcare, such as analyzing treatment outcomes. It then explores several specific uses of AI like robot-assisted surgery, virtual nursing assistance, administrative workflow assistance, fraud detection, and clinical trial participation. Additional applications covered include image recognition and analysis, health monitoring, and challenges of AI implementation. The document concludes that AI has great potential to improve healthcare outcomes and efficiency through accelerated diagnosis, treatment and reduced costs.

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TAKING THE WORLD OF HEALTHCARE BY STORM
ARTIFICIAL
INTELLIGENCE
Forward Thinking
Digital Innovation

2. Overview of
AI in Healthcare:
Artificial intelligence (AI) is a collection of numerous
technologies that imitate the cognitive functions of
human beings. Artificial Intelligence applications in
the modern healthcare industry in particular aim at
analyzing the relationship between prevention
methods or treatment techniques and patient
outcomes. In a nutshell, AI refers to the ability of a
computer-controlled robot to perform various
complex tasks with the simulation of human
intelligence.
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3. In the field of medicine, Artificial Intelligence
(AI) goes a long way in strengthening and
improvising the communication between
Doctors and Patient like never before. The
Healthcare industry requires enormous
amounts of digitized data to be periodically
shared, stored and yet kept secure at the
same time. Smart algorithms are powering
artificial intelligence (AI) applications in the
healthcare sector By enabling intelligent
applications to not only speak and listen but
also to make decisions in unrivaled ways to
nullify human errors.
ARTIFICIAL
INTELLIGENCE
HOW DOES IT BENEFIT THE
HEALTHCARE DOMAIN?
Many researchers of artificial intelligence have
done intensive studies to develop a way in which
they can bring in the emotional quotient to
machines along with general intelligence.
• ROBOT-ASSISTED SURGERY: The future of
surgery is definitely Robot-assisted. Artificial
intelligence can help surgeons perform better
during surgical procedures. This is done with the
help of Robots enabled with artificial intelligence
that supports microsurgical procedures in order to
minimize minor variations caused by the surgeon
during operations that could later hinder patient
recovery. A Robot-assisted surgery ensures
precision in every minute movement whereas the
surgeon can experience tremors during the
procedure. Looking at the successful outcome of
robot–assisted surgeries, experts state that we can
witness more such AI-assisted procedures in the
future wherein the risk factors are reduced to a
great extent.
THE FUTURE OF
HEALTHCARE:
03
AN INSIGHT INTO THE
APPLICATIONS OF ARTIFICIAL
INTELLIGENCE IN THE HEALTH
CARE INDUSTRY

4. VIRTUAL
NURSING
ASSISTANCE:
A breakthrough in the health care sector! AI
-based applications and chat bots render
assistance to care providers in delivering nursing
assistance after the patient gets discharged from
the hospital. A start-up company Sensely
developed Molly – the virtual nurse. A digital nurse
helps people monitor the condition of the patients
and follow up with the required treatment given by
the doctor. It maintains a constant interaction
between the patients and answers any queries
asked about the type of medications to be taken
and whether the specified symptoms require a
doctor visit. For example, AiCure is an app
developed by the National Institutes of Health and
helps in monitoring the health of a patient. How
does it do that? The app uses the front camera of
any smartphone to check if the patient is actually
taking his/her medicines or not on a regular basis.
Digitizing the entire healthcare system would
make data assessing get faster and on the whole,
save a lot of your valuable time. Overall, it
accelerates the accuracy of monitoring patients.
The virtual nursing assistance is definitely a
stepping stone towards the future of AI.
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ADMINISTRATIVE
WORKFLOW
ASSISTANCE:
The health care industry has always struggled with
administrative management. Managing medical
records and other data of patients becomes a
tedious task for them leading to inaccuracy or
errors. How can we bridge a gap here?
Automation of administrative workflow makes
sure that care providers take into consideration
urgent matters pertaining to patients. Further, it
helps save time on routine tasks. Some important
applications of Artificial Intelligence on the
administrative front in health care include
voice-to-text transcriptions like writing chart
notes, ordering tests and prescribing medications.
An example of this is ‘Nuance’ AI-powered
solutions that cut documentation time. On the
other hand, Computer-assisted physician
documentation (CAPD) offers real-time clinical
documentation guidance to providers who can
help patients receive accurate clinical history.

5. 05
Researchers are constantly developing machine
learning algorithms to study health insurance
claims to predict fraud. Health insurance is an
important component of the healthcare industry
wherein to maintain a vigil watch all the time at
fraudulent behavior may be difficult. Artificial
intelligence is used by a few applications that
make health insurance cost effective. Kirontech,
Founded in 2014 uses its software, kironMed to
detect inefficiencies in managing claims. Similarly,
Azati Founded in 2001, alerts insurers of fraudulent
behavior on their mobile insurance platform. These
software solution algorithms are trained on a large
volume of previously claims that were earlier
processed. How does it work? Some Patterns that
correlate with fraud can be identified as
connections between data. These are generated
by the platform and put forth to the user through
a digital notification system for further
investigation. On concluding further, we can
witness a step rise in the increase in the use of AI
solutions in the health insurance industry where
companies are constantly seeking to cut down
costs and augment its operations.
FRAUD
DETECTION:

6. CLINICAL TRIAL
PARTICIPATION:
What is the connection between artificial
Intelligence and clinical trials? Clinical trials are
research studies that determine whether a medical
treatment or a particular device is safe and
effective for humans. The process of testing new
drugs is slow, expensive, and, done manually. The
clinical trial is an important part of the
pharmaceutical drug discovery process. Clinical
trials give the opportunity to patients and also
volunteers to contribute to the field of medical
research that helps to spike up the development of
new drugs and devices. They help doctors find
different ways to improve health and treat
diseases. The results of these research studies give
healthcare providers with the necessary
information required to make changes and
improvements in the way doctors treat or prevent
diseases.
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7. What happens during
a clinical trial?
The experienced clinical trial team generally
involves doctors and nurses. Volunteers such as
social workers and other health care professionals
also take part in this trial. Certain steps are followed
during this process such as:
• The health of the participant is checked at the
beginning of the trial
• Certain instructions are given to the participants
during the trial
• The participant is monitored at close quarters
during the trial period
• Finally, the participant is told to stay in touch
with the respective team after the trial has been
completed
The majority of AI use-cases and new technologies
for clinical revolve around three primary
applications:
1. Patient Recruitment: Various Companies are
constantly coming up with developing software
platforms to match patients better with clinical
trials based on certain criterions.
2. Clinical Trial Design: Clinical trial workflows are
very elaborate. Therefore, certain machine learning
algorithms are developed by companies to help
researchers manage clinical trial workflows with
ease.
3. Clinical Trial Optimization: Threats to trial
validities is a big concern! To ward away these
issues, companies are developing machine learning
models to predict which patient is at a risk of
dropping out of clinical trials.
07
Clinical Trials in a Nut Shell

8. Image processing, pattern recognition, or even
computer vision, all of these have contributed to
the healthcare domain to a great extent. Image
analysis is considered to be extremely time
consuming. Therefore, in order to increase
collaboration and deliver higher value, the
healthcare domain needs to be smooth-running.
An MIT led research team has developed a certain
machine-learning algorithm that has the capability
to examine 3D scans upto 1000 times faster. This
speed and accuracy can help surgeons with
important inputs during operations. A lot of
pathological evaluations like microscopy for
various infections like malaria or the differential
counts, MRI scans for to find out abnormalities in
the body, all of these depend entirely on image
analysis. Here, AI can give a faster and a more
accurate diagnosis to pathologists or radiologists
by helping them in screening the image analysis.
Remote areas generally do not have easy access
to health providers. What can the people do in
times of ill health? AI image analysis can also reach
out to those living in remote areas with the help of
telemedicine. The individual can use the camera of
his/her phone and click images of rashes, bruises,
burns or cuts and send it across to the healthcare
assistant to determine what medication is required
to be taken. Where every minute counts in saving
lives, AI tools can be life-saving by providing faster
service and diagnosis of patients. It is also
predicted that AI can help improving the next
generation of Radiology tools.
Image
Recognition
And Analysis:
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9. Over the years, there have been revolutionary
changes in the healthcare domain. One of the
significant changes is the use of smartphones or
devices to monitor the health of the patient on
regular intervals. We can foresee the future of
Artificial Intelligence and smart devices where
each one will be interdependent on the other. For
example-healthcare trackers like Fitbit or Apple
constantly monitor the heart rate and various
activity levels of the body. These devices can send
a message out to the user to exercise in case it
finds the activity level slows down. This
information can again be sent to the doctors for
further examination. Health conditions such as
diabetes, cardiac issues or even cholesterol have
to be monitored on a regular basis. POC devices
help in giving information or data about the user’s
body parameters. With the help of an Artificial
Intelligence algorithm, the patient can adjust or
manage the dosage of medication to be taken.
HEALTH
MONITORING:
09

10. Inspite of numerous benefits offered by Artificial
Intelligence, there are certain challenges that come
in the way of Artificial Intelligence which can’t be
ignored:
• Risk Factor involved: AI and risk factor? Well,
there is always a benefit of doubt when it comes to
algorithms. What if these algorithms make
incorrect calculations? It is possible. Therefore,
doctors have to constantly be prepared for new
cases that have not been recorded by AI.
• Comfort level: Can a machine actually express a
human emotion that a doctor can give while
interacting with patients? While machines
managing the health of patients can sound
intimidating, the doctors on the hand could feel
threatened.
• Data security: Securing patients’ data is a
strenuous process. The scare of hackers always
hounds us! Any machine can be hacked and the
records of patients can be altered. This serves as a
threat to data security of patients.
Challenges Of
AI Cannot Be
Overlooked:
CONCLUSION:
The era of AI revolutionized
We would all agree at some point that
advancements in Artificial Intelligence do reduce
human error and strengthen consumer trust.
On a broader perspective, the question that still
arises in the minds of people is ‘How effective is
the practical applicability of AI in the health care
domain?’ Nevertheless, the quest for perfect AI
solutions in healthcare is an ongoing task that
looks quite promising! AI in healthcare is a broad
spectrum which improves the quality of care in
patients, from diagnosis to prognosis.
According to reports put forth by Frost & Sullivan,
a consulting firm, AI in the healthcare domain is
likely to experience a massive annual growth rate
of 40% by the end of 2021. AI has the potential to
change healthcare outcomes by 30-40% and is
expected to further cut treatment costs by half.
From accelerating workflows to high quality
diagnoses and increased operational efficiency,
the applications of Artificial intelligence have
grown by leaps and bounds over the years.
First movers such as Mount Sinai, Fresenius and
Houston Methodist are running AI pilots and
enabling employees to work alongside machines
and will reap the advantages in the long run.
Artificial Intelligence is here to stay! It will
transform and increase efficiency across diagnosis,
prognosis, detection of diseases and treatment.
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