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International Journal of Trend in Scientific Research and Development (IJTSRInternational Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456D) ISSN: 2456-6470 | IF: 4.101

AI’s major role is to make AI’s teach other AI’s and AI’s major role is to make AI’s teach other AI’s and AI has and will have a big role in healthcare industry. AI has and will have a big role in healthcare industry.
IT platforms without human intervention and/or IT platforms without human intervention and/or In this almost all traditional healthcare related tasks In this almost all traditional healthcare related tasks
will be performed with the help of innovative data ill be performed with the help of innovative data
efforts. w
sciences.
Artificial intelligence is being applied in almost every Artificial intelligence is being applied in almost every
industry and its used up to maximum level in IT maximum level in IT Google Deep mind and G Suite aim to solve patient and G Suite aim to solve patient
industry. In IT data collection, storage capacity and industry. In IT data collection, storage capacity and record complications by providing a secure, yet record complications by providing a secure, yet
computational power is going on increasingon increasing. This convenient way to access and transfer records while convenient way to access and transfer records while
massive data is valuable food for AI. This data massive data is valuable food for AI. This data can be adhering to HIPAA rules and regulations.adhering to HIPAA rules and regulations. Deep mind
analyzed, processed to comprehend new and changing analyzed, processed to comprehend new and changing will use block chain technology and cryptogrtechnology and cryptography —
trends. the same as crypto currenciescrypto currencies — to ease the
t transferring and updating of patient medical records ransferring and updating of patient medical records
f
healthcare ealthcare
m
s
Following are some examples of use of AI in IT Following are some examples of use of AI in IT while while maintaining aintaining security ecurity for or h
industry: professionals.
1. Natural Language Processing (NLP):Natural Language Processing (NLP):- The best
example of NPL is speech recognition. It is example of NPL is speech recognition. It is There are various applications which will collect There are various applications which will collect
process of converting phrases spoken by humprocess of converting phrases spoken by humans patient records and processes them to perforpatient records and processes them to perform
to machine readable format. Another example of to machine readable format. Another example of diagnosis and help in giving ideal treatment diagnosis and help in giving ideal treatment
Machine Vision is Text Translation. suggestions as well as provide best personalized diet uggestions as well as provide best personalized diet
s
2. Automation:- In this AI makes system work In this AI makes system work chart for patients. Applications will be even able to chart for patients. Applications will be even able to
automatically. Such as repeatable and huge tasks automatically. Such as repeatable and huge tasks predict time duration required for curing illness.predict time duration required for curing illness.
which humans needs to perform can be automated. which humans needs to perform can be automated.
Through predictive analysis, machine learning canhrough predictive analysis, machine learning can
Example:- Robotic process automation.mation. T
3. Self-Driving Cars:- In this vehicle is auto piloted In this vehicle is auto piloted look back at a patient’s past medical records and find look back at a patient’s past medical records and find
with the use of deep learning, computer vision & with the use of deep learning, computer vision & patterns that could suggest that the patient is headed patterns that could suggest that the patient is headed
image recognition. t toward a particular illnessoward a particular illness — like the previously
4. Robotics:- Robots used to perform tasks which are Robots used to perform tasks which are mentioned cancer.
difficult for humans. For example:difficult for humans. For example:- Robots are
used in NASA for shifting huge objects in spaceobjects in space D
Doctors as well as patients will be octors as well as patients will be benefited greatly
5. Machine Learning:- This is the process of This is the process of with AI in healthcare sector. Doctors can utilize this sector. Doctors can utilize this
automation of predictive analysis . Following are automation of predictive analysis . Following are information and treat patients for their faster recovery. information and treat patients for their faster recovery.
the 3 types,
Supervised learning, Future of AI:
Unsupervised learning & W
With the help of huge data& by applying statistics on ith the help of huge data& by applying statistics on
Reinforcement learning. t that, one day AI will solve our world’s biggest issue hat, one day AI will solve our world’s biggest issue
6. Machine Vision:- In this with the help of camera In this with the help of camera about climate change. We will have robotsabout climate change. We will have robots which can
information can be captured as well as analyzed. It information can be captured as well as analyzed. It understand feelings of human, change its own understand feelings of human, change its own
is used in range of applications. s
sentiments, be friends with them and help them to stay entiments, be friends with them and help them to stay
7. In cyber security:- AI can identify any new and AI can identify any new and happy.
doubtful activities and/or weakness very fast and doubtful activities and/or weakness very fast and
it can be then analyzed to find and stop/alleviate d to find and stop/alleviate CONCLUSION:
AI’s is going on becoming smarter than human and I’s is going on becoming smarter than human and
cyber-attacks. A
a
after few decades it will be smartest. Which is indeed fter few decades it will be smartest. Which is indeed
3. Role of AI in healthcare Industry: -- not a good thing. If AI is not dangerous right now but AI is not dangerous right now but
in near future it is definitely going to be dangerous. n near future it is definitely going to be dangerous.
i
A
AI’s will be the one who will take decisions for I’s will be the one who will take decisions for
humans and also AI will control humans. Thus, AI umans and also AI will control humans. Thus, AI
h
and IT scientists must carefully as they create robots nd IT scientists must carefully as they create robots
a
and computers.

Some worldwide standardized Rules, regulations and ome worldwide standardized Rules, regulations and
S
limitations should be set for use as well as in design imitations should be set for use as well as in design
l

@ IJTSRD | Available Online @ www.ijtsrd.comwww.ijtsrd.com | Conference Issue: ICDEBI-2018 | | Oct 2018 Page: 206