This presentation was made for a school project, It covers- Usage of AI in medical field AI Usage all over the world Implementation of SDGs using AI

1. Uses of AI
This presentation covers the following
subtopics-
• AI in medical field
• Machine Learning
• Usage of AI by Countries
• Implementation of SDGs using AI

2. Use of AI in medical field
Artificially intelligent computer systems are used extensively in
medical sciences. Common applications include diagnosing
patients, end-to-end drug discovery and development, improving
communication between physician and patient, transcribing
medical documents, such as prescriptions, and remotely treating
patients.

3. AI in Disease Diagnosis
Correctly diagnosing diseases takes years of medical training.
Even then, diagnostics is often an arduous, time-consuming
process. In many fields, the demand for experts far exceeds the
available supply. This puts doctors under strain and often delays
life-saving patient diagnostics.
What is machine learning ?
It's the process of using mathematical models of data to help a
computer learn without direct instruction. This enables a
computer system to continue learning and improving on its own,
based on experience.
How machines learn to diagnose?
• Machine Learning algorithms can learn to see patterns
similarly to the way doctors see them. A key difference is
that algorithms need a lot of concrete examples – many
thousands – in order to learn. And these examples need to be
neatly digitized – machines can’t read between the lines in
textbooks.
• So Machine Learning is particularly helpful in areas where the
diagnostic information a doctor examines is already digitized.

4. USES of Machine Learning
• Detecting lung cancer or strokes based on CT scans
• Assessing the risk of sudden cardiac death or other heart
diseases based on electrocardiograms and cardiac MRI
images
• Classifying skin lesions in skin images
• Finding indicators of diabetic retinopathy in eye images

5. Usage of AI
0
2.5
5
7.5
China USA UK France
0.5=5(Y-axis)
Counts
of
AI
Applications
Representative Countries of the world

6. Implementation Of SDGs
What are SDGs?
The Sustainable Development Goals or Global Goals are a collection of 17
interlinked global goals designed to be a "shared blueprint for peace and
prosperity for people and the planet, now and into the future". The SDGs
were set up in 2015 by the United Nations General Assembly and are intended to
be achieved by 2030.
How close are we to achieving SDGs?
The SDGs will be reached by
2073 on current trends. We
all want that to accelerate,
but the risk is that progress
will decelerate due to climate
change. Economists still
argue over whether, despite a big
drop in poverty, the Millennium
Development Goals were
achieved or not.

7. Solving SDGs using AI
One goal of AI applicability can be within solving SDG related issues. What has been
proposed is that the current capabilities of AI could help solve cases across all 17 of
the UN SDGs, eventually benefiting hundreds of millions of people in both
advanced and developing countries.
The 14th and 15th SDG goals
refer to the protection of life in
water and on land. In these
cases, AI-powered technologies
can be used to create
automated processes
that collect remote
sensing data about
biodiversity. This data can
help stakeholders identify
patterns in the species
behavior and act accordingly
when they notice something unusual.
AI technology can play a meaningful role in environmental protection. The
management of protected areas can be made more effective with a clearer
understanding of the specific behavior patterns. This can be especially useful for the
protection of water and its fragile habitats. But, there has to be controlled and
transparent use of technologies.