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Module 6 AIA6600 : Artificial Intelligence : Roadmap for AI Implementation

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nexford university

   

Artificial Intelligence (AIA6600)

   

Added on  2023-04-28

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In this PDF we will discuss about Module 6 AIA6600 Artificial Intelligence : Roadmap for AI Implementation Across Value Chain Phases of Different Verticals:

  • Cardiovascular disease is a growing burden on medical systems.
  • Artificial intelligence (AI) is a rapidly evolving field that uses machine learning techniques to simulate human intuition and produce practical and economical alternatives to effectively treat CVD.
  • AI algorithms are increasingly being created and employed in cardiology for various illnesses, including arrhythmia, cardiac arrest, coronary artery and heart valve disease problems.
  • AI can be used in many applications that are beneficial for Midwest Cardiology Institute and the cardiovascular practices it is linked with.
  • AI technology can analyze and track the functioning of the heart.
  • Eating fatty and heavily processed foods significantly impacts heart disease.
  • AI has become an essential tool for medical research and can provide new, connected, reliable, and efficient healthcare solutions.

 

Module 6 AIA6600 : Artificial Intelligence : Roadmap for AI Implementation

   

nexford university

   

Artificial Intelligence (AIA6600)

   Added on 2023-04-28

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Final Project
Module 6 AIA6600
Artificial Intelligence
Roadmap for AI Implementation Across Value Chain
Phases of Different Verticals
BA (Hons) Jihan Adilah Ikbar
Learner ID: 081634
Module 6 AIA6600 : Artificial Intelligence : Roadmap for AI Implementation_1
EXECUTIVE SUMMARY
Cardiovascular disease is currently placing a significant and growing burden on medical
systems. Artificial intelligence (AI), a rapidly evolving field that seeks to simulate human
intuition to produce practical and economical alternatives to more effectively treat CVD, uses
machine learning techniques. In cardiology, ML algorithms are being created and employed
increasingly frequently in a variety of illnesses, including arrhythmia, cardiac arrest, coronary
artery and heart valve disease problems (Haq et al., 2022). Artificial intelligence (AI) can be
used in many applications that are beneficial for Midwest Cardiology Institute and the
cardiovascular practices it is linked with. Diagnoses and therapies are predicted by highly
advanced AI systems. Machine learning, deep learning, and cloud technologies are all pertinent
in this specific case. But so far, it is employed to resolve challenges and reach strategic
conclusions. In addition to examining the causes and interactions of various variables, one may
also look into their effects. By this paper, we hope to assess artificial intelligence's potential in
cardiology. With the help of AI technology, we may analyze and track the functioning of the
heart using this method.
Module 6 AIA6600 : Artificial Intelligence : Roadmap for AI Implementation_2
BACKGROUND
Heart disease is significantly impacted by eating foods that are fatty and heavily processed.
Heart failure, congenital heart disease, coronary artery disease, stroke, and many other
cardiovascular disorders require a doctor's special attention in order to receive better therapy.
Nowadays, artificial intelligence (AI), which replicates human intelligence in computer
programs that think like people, has become an essential tool for medical research. Everyone
is focused on the development of technology in the digital age so that it can converge with the
medical industry and provide new connected, reliable, and efficient healthcare solutions. AI is
one of the most recent advancements in the extension and improvement of cardiac efficiency.
AI is used to assess the outcomes of devices like echocardiograms, MRIs, CT scans, and other
ones that have long been studied using ever-more-advanced technological techniques. AI,
which helps us to determine the ideal operating conditions throughout the recuperation process,
made this possible. Cardiology wants to use AI to advance technology and implement clinical
AI practices that emphasize a healthy lifestyle for a wide range of people (Sahu, 2021).
Module 6 AIA6600 : Artificial Intelligence : Roadmap for AI Implementation_3
IMPLEMENTATION OF IMAGE RECOGNITION IN
CARDIOLOGY
Cardiovascular imaging is increasingly using AI. In the next years, AI will be able to speed up
the process of diagnosis and treatment by classifying cardiac components automatically, doing
away with the need for human mistake. Future AI may dramatically increase the information
value of early diagnosis photos based just on the image features alone or a combination of
visualizations and scientific data, making it simpler to diagnose diseases and take appropriate
action. The following is a list of the cardiovascular imaging applications for AI:
a. Magnetic Resonance Imaging
Cardiomyopathy performance, hemodynamic imaging, and anatomical imaging are
only a few of the topics examined in the imaging of the heart. Despite the fact that
using MRI has a number of benefits and the ability to produce high accuracy
imaging, radiologists must nevertheless have the necessary knowledge and abilities
to conduct effective prediction and imaging. The quality of the images recorded by
cardiac MRI tends to depend not only on the machine and the healthcare
professional but also on the patient due to the depth and complexity of the imaging
method (Mbau et al., 2022).
b. Echocardiography
Echocardiography is the imaging method that is most frequently used in cardiology.
Many advantages of ultrasound include its adaptability, affordability, and
availability in most medical facilities and clinic settings. Hence, accurate
interpretation of echocardiographic data requires substantial operator training
(Mbau et al., 2022).
Module 6 AIA6600 : Artificial Intelligence : Roadmap for AI Implementation_4

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