Mass Disaster Management in Medical Field

2. Mass Disaster Management
• By Capt Dr Muhammad Mudassar

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To acquaint the audience regarding
Artificial intelligence, New developments
and its impact on Healthcare system

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Introduction to AI
Impact of AI on healthcare
Pros vs Cons

5. • AI is a field which combines computer science and robust
datasets, to enable problem solving
• Encompasses subfields of machine learning and deep
learning
• Expert systems which make predictions or classifications
based on input data
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9. • Classification and pattern recognition tasks
• Can make calculations much faster
• Incapable of dealing with scenarios including imperfect information or
requiring historical understanding
Reactive AI
• Handle complex tasks
• Able to use historical data to make predictions
Limited
Memory
• Able to understand human motives and reasoning.
• Able to learn with fewer examples because it understands motive and
intent
• Considered the next milestone for Al's
evolution
Theory of
Mind
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11. I. Medical imaging and diagnosis
II. Drug discovery
III. Therapy planning
IV. Hospital workflow
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13. THE INEVITABILITY
• Tremendous amount of data everyday
• Use of technology to stratify and centralize this data
to ensure accessibility
• Electronic health records, ECGs, X-rays and lab
reports can be entered into algorithms
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14. • Time management for physicians
• Absence of real time patient information: 2020 and telehealth
• Dependence of EHR data on physicians
• The abundance of information and physician limitations
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THE CURRENT HEALTHCARE SYSTEM AND PATIENT’S WELFARE

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20. Any Queries?

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• To emulate conventional light microscopy
computer generated
• Glass slides digital slides
• Virtual slide viewer
Whole slide
imaging
(virtual
microscopy)
• Store, share and evaluate digitalized
microscope samples
• Tissue classification and object
quantification
Web microscope
Thank You