California State Artificial Intelligence in Healthcare Research Paper using IEEE paper template, related to articles about AI help in healthcare.
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I provide half done paper, just need to add more resouce and explaination. (please include some pictures or code.) IEEE TRANSACTIONS ON JOURNAL USING OF AI IN HEALTCARE PROVISON 1
The use of Artificial Intelligence in improving
healthcare provision- a survey
Thomas Brenner, Titus Sudarno, and Shijie Feng, and Jeremy Gibbons. California State
Abstract— Artificial Intelligence (AI) is exponentially growing in the modern world because multitudes of industries understand
its importance in enhancing organizational efficiency. The automobile, warehousing, and marketing industries are among the
industries that experience the AI’s efficiency in executing different functions. In healthcare, the advancement of using AI is still
rigid, but there is potential to enhance different things. In this regard, can AI effectively improve on different healthcare segments
to assure sustainable comprehensive patient-care?
—————————— ◆ ——————————
Many adherents and enthusiasts to this AI subject
have questions on the diversity that AI can
demonstrate in improving different healthcare
activities. The modern world is grappling with the
emergence of new diseases that are challenging to
treat. It is, therefore, through the usage of advanced
technologies such as AI to invent preventive and
curative measures to alleviate the effects of these
diseases. The healthcare professionals direly
deserve aid in form of technological inventions to
accomplish some tasks more quickly and
efficiently than now. A physician with the
appropriate technological devices and knowledge
in AI will execute the diagnosis and treatment of
patients more professionally.
AI is exceptional technology that the healthcare
industry can hugely benefit from if it utilizes it fully. In
robotic surgery, AI enables efficient analysis of pre-op
medical records that can help a surgeon to offer better
services for a patient to heal faster than normally. In
functioning, robot-assisted surgery is usually minimally
invasive, which means that there are no large incisions on
patients when it is used. Patients, therefore, only stay for
short periods in their specified healthcare facilities
compared to when they undergo normal surgery that lacks
AI technology. AI technology helps surgeons to learn about
new surgical methods through the robots. The utilization
of robot-assisted systems in surgery is an important step in
the reduction of patient complications. These systems aid
physicians to exert more control on their treatment
methods than using conventional means. On the other
hand, AI is revolutionary because it facilitates efficient
image analysis that proves too time-consuming to execute
when robots are not used. Robots have the capability of
analyzing 3D scans faster than normal machines, estimated
to be 1,000 times.
xxxx-xxxx/0x/$xx.00 © 200x IEEE
The utilization of AI in healthcare is still restrained
mainly because of investment costs. However, there are
plethoric applications in AI that can be used in different
areas. Ensuring cyber-security is an essential aspect in
healthcare because it protects hospital data and
information. On the other hand, radiographic imaging also
depends on AI to execute its varied activities effectively.
The application of these technologies will help in the
revival of diagnostics because of data categorization that
facilitates effective plans on treatment approaches towards
2 RESEARCH FINDINGS
Larmer, , admits the fact that current world has not yet
fully adapted to AI technology with reference to the
healthcare industry. The willingness exuded by
governments and companies to embrace the technology is
indication that AI-powered solutions are the most
excellent. The article proposes different healthcare fields
that can hugely benefit if AI technology is utilized. Firstly,
the article describes robotic surgery supported by AI as
an effective method that healthcare facilities should
purchase. It estimates its cost at$40 billion with the
capability of analyzing pre-op medical records data to
resultantly guide the surgical instruments during the
process. It is believed that it reduces risks up-to 21%
margins and helps patients to come out of hospital earlier
than when they undergo normal surgery. The article also
describes virtual nursing assistance as a function that AI
technology can quickly execute. Virtual nursing assistants
are online around the day and night unlike the normal
nurses. Offering aid in clinical diagnoses is another
process that AI technology can do to improve healthcare.
There are AI algorithms people making that detect skin
cancers earlier than a dermatologist does. On the other
hand, the article mentions the efficiency that AI can
provide in running administrative tasks, which is mainly
an automated integration of different work tasks. Image
analysis is another A1 technology that the article talks
Published by the IEEE Computer Society
AUTHOR ET AL.: TITLE
about as a possible area that can improve with the proper
utilization of AI.
Morgan  describes the increasing adoption of AI as a
great to improving the entirety of healthcare services. It
asserts that AI has been extensively used in the recent
years by the healthcare industry. The hankering for
expanding care services among medical providers has
been the fountain of this increased adoption of AI
technology. It attributes the efficiency to the AI software
that adapts to a patient’s environment in the absence of
human intervention. It can learn with the reception of
specified commands to target and satisfy different human
needs independently. The article provides examples of the
manner that AI can improve healthcare activities. AI
helps to enhance healthcare by identifying genes that
cause antibiotic resistance in any form of bacteria. AI is
also responsible for the introduction of brain-computer
interfaces that can help many people with temporary or
permanent disabilities such as stroke patients. It also
mentions the use of AI in cardiology with the invention of
machines such as the “implantable defibrillator” that
monitors heartbeats in patients susceptible to cardiac
Uzialko  illustratively describes AI as an important
technological innovation that has helped the healthcare
industry in many ways. It explains the machine learning
tools that the technology utilizes with their adoption
being low currently. However, the author insists that the
healthcare industry can benefit massively if the
technology is popularize well among many healthcare
facilities. It mentions robot-assisted surgery, virtual
nursing assistants and diagnostics as the dominant areas
in healthcare that can receive further efficiency with the
utilization of the AI technology.
Kennedy’s view  in this insightful article describes the
processes that I can enhance to achieve better efficiency in
the provision of health care. Normally, healthcare
professionals receive large amounts of data that can cause
inefficiency at times due to incurrence of errors. However,
AI can facilitate an accurate process of recording,
analyzing and arranging data by augmenting the
computing power. The power can help in the detection and
analysis of small and large trends to make appropriate
predictions by using the machine learning tools.
Hsu  is critical in describing the AI techniques that are
commonly used in the healthcare industry. Deep and
machine learning are the examples that the article suggest
as the main technologies that can revolutionize the
industry. It asserts that they need human intervention
though to run effectively in streamlining services such as
nursing, acute care, and other hospital segments.
Deep  reveals that AI is a transformative technology
that revolutionizes the healthcare sector in a myriad of
ways. It has enhanced clinical research due to efficient
data-processing and drug development. It has improved
patient outcomes at minimized costs.
The Forbes magazine  revealed the most vital
information in this incisive article is that AI enables
healthcare processes to run efficiently and produce
desirable results over time. It suggests that exhaustive
uses of AI can help in conducting better precision surgery,
preventive intervention that depends on predictive
diagnostics and drug development.
Arsene  mentions different medical fields that AI can
enhance. It reveals that medical diagnostics, drug
recovery pain management are among the fields that can
hugely improve if AI is utilized well.
Marshall  in this exceptional article declares that AI can
help in augmenting the services that radiology, drug
discovery, primary care, and patient risk-identification
offer. These are segments that direly need the AI machine
learning tools to become more efficient in achieving
desirable patient outcomes.
Parmar and his team  present different segments of
healthcare services that AI can greatly develop. In
diagnostic applications, AI facilitates efficient reading of
imaging scans and pathology reports. The AI technology
also helps physicians to make sound medical decisions by
providing accurate recommendations that are driven by
Fiske and his team  explore ethical and social issues
that Artificial intelligence can cause when applied to the
multidisciplinary of psychology, psychiatry and
psychotherapy. The authors also developed potential
strategies to cope with the challenges arising from the new
technology. The article mentioned upon the usage of
Artificial Intelligence as virtual therapists for a spectrum of
psychological disorders. However, the article also
mentioned upon the limitations of Artificial Intelligence,
which might not have perfect risk assessment to prevent
patients from harming themselves or biasness might exist
in the the data algorithm, thus further compromising the
treatment. All in all, the article still supports the usage of
Artificial intelligence in the industry as they can greatly
reduce the manpower of trained personnel; however, more
resources would need to channel to maintain and monitor
the AI system to ensure they are positively treating
Lovejoy  describes the role of artificial intelligence and
machine learning in the field of mental health care. This
article mainly stresses the steps that need to be taken
before we truly can trust AI in the mental health care field.
This paper also highlights some of the current uses of AI in
the field for detection and treatment of mental illnesses.
D’Alfonso  discussed upon the usage of an AI-based
online social therapy web application designed for the
recovery in youths’ mental health. The article mentioned
that software allows more positive users’ engagement that
can further aid in the recovery process. The software’s
unique features and interface allows for more data and
patterns to be collected and constantly improving the
software. The article is an example of a successful case on
how AI can be employed to mitigate the mental health of
AUTHOR ET AL.: TITLE
Coeckelbergh  discusses how even though AI could be
a vital tool that can help individuals with health care needs
we need to remember that human interaction in health care
is important as well. If AI begins to help those in need in
the healthcare industry they have to be able to simulate the
care that a real person would give them. If the patient in
need does not enjoy their care that the AI provides them
then it is possible that their condition could worsen.
Another concern with implementing AI into the healthcare
system would be the less jobs available to those in the
industry. If nurses and other medical staff could be
replaced by AI it could cause demand in that field to go
down and the overall number of medical professionals to
take a dive.
The IEEE paper  talks about scientists are trying to
develop the mind of AI and are working towards creating
an AI mind that will enable it to learn on its own and
understand what it is learning similar to an animal or
Crowder  explained the similarities and differences
between the emotions and thoughts of an AI mind and a
Human mind. For AI to be used as a form of psychological
treatment for patients, AI will need to be able to
understand Human emotions and thoughts as well. If AI
is not able to so, then it could be even more detrimental to
the patients seeking psychological help.
Michael  discusses the benefits and problems with
having an AI psychologist; the appeals for creating one but
also the problems with it as individuals do not always
respond to the same types of treatments that others use.
Every patient has an individualized unique treatment and
AI’s help might not be enough to help everyone as it could
not establish a real human connection with the patient like
a Human Psychologist.
Tan  discusses the difficulties of treating depression
and how artificial intelligence could help. Today, a
common way to select treatment for depression patients is
through the process of guess-and-check. With the ability
machine learning has to process high-dimensional data,
there could exist more personalizing treatment for
depression and artificial intelligence chats to employ
psychotherapy. This article is very relevant because it is
from 2019. Also, depression is a major problem in today’s
society with over 300 million people affected by it
Mello and his team  explores an alternative perspective
of the artificial’s systems. It gave explanations on how
machines are able to form emotions deep inside and
subsequently affecting their behavior. More methods can
be explored to make machines more human-like by
combining psychology and artificial intelligence with a
purpose for therapy.
AI is beneficial for healthcare industry.
B. Larmer, “What Does It Take to Stop Accepting Pollution as the Price of
Progress?”, Nytimes.com, 2018. [Online]
L. Morgan, “Artificial Intelligence in Healthcare: How AI Shapes
Medicine”, Datamation.com, 2019.
A. Uzialko, “How AI is Changing Healthcare”, Business News
Daily, 2019. [Online].
L. Paige Kennedy, “How Artificial Intelligence Helps in Health
Care”, WebMD, 2019. [Online].
J. Hsu, “Will Artificial Intelligence Improve Health Care for
Everyone?” Smithsonian, 2019. [Online].
A. Deep, “How AI Is Transforming The Future Of Healthcare
Industry,” Hackernoon.com, 2019.
Insight Team, “Forbes Insights: AI And Healthcare: A Giant
Opportunity”, Forbes.com, 2019.
C. Arsene, “Artificial Intelligence in Healthcare: the future is
amazing – Healthcare Weekly,” Healthcare Weekly, 2019. [Online]
S. Marshall, “How AI is Transforming the Future of Healthcare,”
A. Parmar, S. Baum, A. DeArment, E. Dietsche, and K. Truong, “A
look at operational and clinical applications of AI in healthcare MedCity News,” MedCity News, 2019.
Fiske A, Henningsen P, Buyx A. Your Robot Therapist Will See
You Now: Ethical Implications of Embodied Artificial
Intelligence in Psychiatry, Psychology, and Psychotherapy. J Med
Internet Res 2019;21(5):e13216
Lovejoy, Christopher A. “Technology and Mental Health: The
Role of Artificial Intelligence.” European Psychiatry. 55 (2019): 13. Web.
D’Alfonso, Simon, et al. “Artificial Intelligence-Assisted Online Social
Therapy for Youth Mental Health.” Frontiers in Psychology, vol. 8,
June 2017. EBSCOhost, doi:10.3389/fpsyg.2017.00796.
Coeckelbergh, Mark. “Health Care, Capabilities, and AI
Assistive Technologies.” SpringerLink, Springer Netherlands, 17
“Full Page Reload.” IEEE Spectrum: Technology, Engineering,
James A. Crowder “Artificial Psychology: The Psychology of AI”
Raytheon Intelligence, Information, and Services
Rucker, Michael. “Using AI for Mental Health.” Verywell Mind,
Verywell Mind, 2 June 2019
Tan, Jimmy. “Primed for Psychiatry: The Role of Artificial
Intelligence and Machine Learning in the Optimization of
Depression Treatment.” University of Toronto Medical Journal.
96.1 (2019): 43-47. Web.
de Mello, Flávio Luis, and Sebastião Alves de Souza.
“Psychotherapy and Artificial Intelligence: A Proposal for
Alignment.” Frontiers in Psychology, vol. 10, Feb. 2019.
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