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

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The application of artificial intelligence in healthcare often has a number of ethical implications. In the past, human beings themselves made almost all healthcare decisions. In addition, the use of smart devices to produce or assist with them raises questions about responsibility, openness, consent, and privacy. Latest trends in medical AI Aside from merely showing superior effectiveness, emerging innovations that reach the medical sector often need to align with existing procedures, obtain sufficient regulatory clearance, 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. To learn more visit: Contact: Website: www.tutorsindia.com Email: info@tutorsindia.com United Kingdom: +44-1143520021 India: +91-4448137070 Whatsapp Number: +91-8754446690 – PowerPoint PPT presentation

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


1
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
2
Today's Discussion
OUTLINE What is Artificial Intelligence? Issues
Related to Medical AI Conclusion
3
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..
4
  • 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..
5
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..
6
  • 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..

7
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.
8
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.

9
CONTACT US
UNITED KINGDOM 44-1143520021 INDIA 91-444813707
0 EMAIL info_at_tutorsindia.com
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