Trends and issues of artificial intelligence in medical application- Tutors India

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TRENDS AND ISSUES OF ARTIFICIAL INTELLIGENCE IN
MEDICAL APPLICATION
An Academic presentation by Dr. Nancy Agens,
Head, Technical Operations, Tutors India
Group www.tutorsindia.com Email
info_at_tutorsindia.com
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Today's Discussion
OUTLINE What is Artificial Intelligence? Issues
Related to Medical AI Conclusion
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What is Artificial Intelligence?
Artificial intelligence or AI is a vast segment
of computer science dedicated to development of
intelligent machines that can perform jobs that
need human intellect. 1.WHAT IS MEDICAL AI? The
fundamentals of evidence-based practice are
guiding clinical decision-making by lessons from
historical research. AI offers strategies by ML
or machine learning that reveal dynamic
relationships that cannot be readily turned to
an equation. This permits Machine Learning
structures to address solution to complex
problems just like a clinician would do.
Contd..
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• LATEST TRENDS IN MEDICAL AI
• Emerging innovations that reach the medical
  sector often need to align with existing
  procedures, and possibly most significantly,
  encourage medical professionals and patients to
  engage in a modern approach.
• Such problems have given rise to many new
  developments in study and acceptance of
  Artificial intelligence.
• AI OUTSHINES AT PRECISE ACTIVITIES
• Study has centered on activities where artificial
  intelligence is able to show its efficiency
• with respect to human doctor.
• The input is a visual image for the detection of
  abnormal skin lesions and the output is a basic
  binary description benign or malignant.

Contd..
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Under such terms, researchers clearly needed to
prove that artificial intelligence was superior
in responsiveness and accuracy than
dermatologists.
4. AI SUPPORTS DOCTORS, WONT REPLACE
THEM Robots lack human values like empathy and
kindness and thus patients need to understand
that human doctors are in charge of
consultations. Artificial Intelligence thus
usually performs roles, which are important but
small enough in their reach to leave the key
healthcare responsibilities for the human
doctors. There is an active clinical study using
artificial intelligence to measure target areas
for head neck radiotherapy more precisely and
much faster than a human.
Contd..
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• AI SUPPORTS BADLY RESOURCED SERVICES
• A single artificial intelligence system is
  capable of serving a huge population and is
  therefore ideally suited to circumstances where
  human expertise is a rare thing.
• Using artificial intelligence, analysis of
  radiographs submitted at these centers can be
  performed by a standalone-centralized system.
• AI IS INCREDIBLY SELECTIVE EATER
• Building Machine Learning models needs
  well-formatted training data about a stable
  phenomenon over time.
• A diversion from these findings is
  'over-fitting,' where artificial intelligence
  puts undue importance on spurious correlations
  in past data.
• Google tried to forecast influenza's seasonal
  occurrence using only the search terms loaded
  into its search engine.
• Contd..

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Issues Related to Medical AI
Ethical consequences The application of
artificial intelligence in healthcare often has a
number of ethical implications. Recommendation W
hile early efforts to provide guidelines for
diagnosis and treatment have proved difficult,
we believe that AI can eventually master the
domain too. Given the rapid advancement in
Artificial Intelligence for medical research, it
seems probable that a computer would analyze
most of the radiology and pathology images at
some stage.
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Conclusion

• From the above discussion, we can conclude that
  Artificial Intelligence can support doctors and
  can even excel them in some cases like
  classification of suspicious skin lesions.
• AI can give support to poorly resourced medical
  areas like TB where AI can diagnose the disease
  with higher accuracy.
• However, the use of AI in medical practice has
  issues like transparency
• and privacy.

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