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: http://www.tutorsindia.com/blog/ Contact: Website: www.tutorsindia.com Email: info@tutorsindia.com United Kingdom: +44-1143520021 India: +91-4448137070 Whatsapp Number: +91-8754446690

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@tutorsindia.com

2. What is Artificial Intelligence?
Issues Related to Medical AI
Conclusion
OUTLINE
Today's Discussion

3. 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.
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?
What is Artificial Intelligence?
Contd..

4. 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.
2. LATEST TRENDS IN MEDICAL AI
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.
3. AI OUTSHINES AT PRECISE ACTIVITIES
Contd..

5. 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.
4. AI SUPPORTS DOCTORS, WON’T REPLACE THEM
Under such terms, researchers clearly needed to prove that artificial intelligence
was superior in responsiveness and accuracy than dermatologists.
Contd..

6. 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.
5. AI SUPPORTS BADLY RESOURCED SERVICES
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.
6. AI IS INCREDIBLY SELECTIVE EATER
Contd..

7. The application of artificial intelligence in healthcare often has a number of ethical
implications.
While 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.
Ethical consequences
Recommendation
Issues Related to Medical AI

8. 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.
Conclusion

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