Lecture#2: DEVICE INFORMATICS – applications in Public Health

We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent, but the term AI was coined (1955) not too long after the invention of computing devices. However, the idea that a machine can behave like a human being is even older. The term “automaton” was used for it. Please see:
– (https://www.tableau.com/data-insights/ai/history)
– (https://en.wikipedia.org/wiki/Logic_Theorist)
What has changed, though, in recent times, is the amount of computation that can be performed. GPUs have made tremendous progress, and it is now possible to do heavy computation with very large amount of memory in real time.
The terms AI and machine learning (ML) are normally used interchangeably though there are differences. We will discuss what is the difference between them. While AI tries to mimic the human behavior, ML is a set of statistical tools to look at the data to find patterns without direct instructions. In some ways, it is a subset of AI. We will dig a little deeper into how AI works. This will give us a better understanding of what kind of problems it can solve effectively and where it should be avoided, or one needs enhanced or use better tools.
Neural networks are normally used to perform AI calculations: Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) are some examples. They have their origin in the way the human brain works.
We will discuss the biological basis of neural networks and discuss how these networks are implemented. We will focus on concepts and will develop intuition about how they are trained. We will also see how and when a certain type of network can be used.
We will go over some caution around data analysis and what to watch out for when using AI.
Speaker(s): Dr Md Usman
Agenda:
– 14:00 to 14:10 PM : Welcome to IEEE OC EMBS and general introduction
– 14:10 to 14:20 PM : Introduction by Gora Datta, FHL7
– 14:20 to 15:50 PM: Expert Lecture by Dr Md Usman
– The difference between AI and ML,
– Biological basis of some AI networks,
– Basics of how an AI model is trained and what does it mean,
– Advantages and disadvantages of using AI – why should we use it, and what does it measure anyways?
– What are large language models (LLM), and their usefulness in medicine,
– Will understand some examples of using AI, and
– Know when to use AI for health measurements.
– 15:55 to 16:00 PM : Wrap Up
Room: Emerald Cove, Bldg: Bealle Applied Innovation, 5270 California Ave, Gora Datta, Irvine, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/507676