This technical seminar presentation provides an overview of artificial intelligence in healthcare. It introduces artificial intelligence and how it is classified. It also discusses how AI technologies like machine learning, machine vision, and natural language processing are being used in healthcare for applications such as disease prediction, drug manufacturing, treatment decision-making, and surgery. The presentation highlights advantages of AI in healthcare like more accurate disease identification, lower treatment costs, and reduced errors. It also notes challenges around training, adoption, regulations, and security.

1. VISVESVARAYA TECHNOLOGICALUNIVERSITY,
BELGAUM
Technical Seminar
on
“Artificial Intelligence in
Healthcare”
Presented by :
Muhammed Iyas AD
( 1BT14IS009 )
Department of Information Science & Engineering
BTL Institute of Technology and Management,
Bangalore-99

2. Table of Content:
• Introduction to Research Area.
• Introduction to Research Topic.
• Comparison with Existing System.
• Applications.
• Conclusion.
• Reference.
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3. Introduction to Research Area :
• Artificial Intelligence (AI) :
Artificial intelligence is defined as the
combination of science and the engineering on
creating intelligent computer systems that are
able to perform tasks without receiving any
instruction directly from humans.
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4. Classification of AI :
• Common Classification:
1. Strong Artificial Intelligence.
2. Weak Artificial Intelligence.
• Classification from Arend Hintze:
1. Type 1: Reactive Machines.
2. Type 2: Limited Memory.
3. Type 3 : Theory of Mind.
4. Type 4 : Self Awareness.
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5. AI Technologies Used in Health care:
• Machine Learning.
• Machine Vision.
• Natural Language Processing (NLP).
• Robotics.
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6. Introduction to Research Topic :
• Healthcare :
Maintenance of health via prevention, Diagnosis
and Treatment of diseases ,
illness, injury, and other physical and mental
impairments in human beings.
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7. Continues……
• Existing Healthcare System :
• Treatments are only based the current study.
• It’s hard to find a doctor who knows you.
• Lack of knowledge.
• Unexpected Deaths due to human errors.
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8. Comparison with Existing System :
• Way of Treatment.
• Efficiency.
• Advantages.
• Challenges.
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9. Roles of AI in Healthcare:
• Disease Prediction :
• Traditionally approaches of doctors.
• Use of AI technologies in this area.
• Benefits.
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10. Example
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Figure 1 - X-RAY of a Human Hand

11. Continues…
• Drug Manufacturing :
• Old Approach.
• Proposed Approach.
• Benefits.
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Figure 2 – Robots in drug manufacturing.

13. Continues…
• Treatment Decision :
• Current Approach.
• AI used Approach.
• Benefits.
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Figure 3 – Evaluation System

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Figure 4 – Robotical Evaluation

16. Continues…
• Surgery :
• Existing Approach.
• AI used Approach.
• Benefits.
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Figure 5 - da Vinci Surgical System.

18. Advantages:
• Leading to advancements in healthcare
treatments.
• The ability to quickly and more accurately
identify signs of disease.
• Patients can ask medical questions and receive
answers in absence of a doctor.
• Reduces the treatment cost.
• Makes the treatment decision faster.
• Helps to reduce the human errors.
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19. Challenges:
• Training Doctors/Patients.
• Adoption.
• Regulations.
• Maintenance.
• Security.
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20. Conclusion :
• The primary aim of AI in healthcare is to analyze
relationships between or treatment techniques and
patient outcomes.
• AI can achieve fast and accurate Diagnostics.
• It will be very helpful to reduce the human errors
as well as the cost of treatment.
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21. Reference :
• http://searchcio.techtarget.com/definition/AI.
• http://www.healthcareitnews.com/slideshow/how-ai-transforming-
healthcare-and-solving-problems.
• https://www.forbes.com/sites/forbestechcouncil/2018/01/30/how-ai-is-
transforming-the-future-of-healthcare.
• http://www.pharmtech.com/understanding-potential-artificial-
intelligence-across-pharmaceutical-lifecycl’.
• https://www.accenture.com/us-en/insight-artificial-intelligence-
healthcare.
• https://medium.com/@Unfoldlabs/the-impact-of-artificial-intelligence-in-
healthcare-4bc657f129f5.
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