Uses of Artificial Intelligence [PPT]ㅤㅤㅤ

The presentation covers the fields in which AI is proving to be helpful.

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 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 d rop 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 . T he 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 .

8. Credits Presentation by- Vedang Gupta Arunoday Katiyar Adamya Sources- Wikipedia.org Healthitanalytics.com Sdgs.un.org