Applying Artificial Intelligence, Deep Learning models to support disease diagnosis
Faculty Department
Department of Mathematics and Computer Science
Presentation Type
Powerpoint
Location
H239
Zoom Link
Start Date
February 2025
End Date
February 2025
Description (Abstract)
Applications of artificial intelligence (AI) are becoming very popular in many different forms. The application of these advanced techniques to support disease diagnosis is one of the topics that has received much attention. In this presentation, we will present some key points of AI, specifically about Deep Learning models. From there, we will present some applications of these models in supporting the early detection of Alzheimer's disease or brain tumors. The presentation also presents some recent research results of the author group that have been published in good peer-reviewed journals in the SCIE/Scopus category on these topics.
Keywords
Artificial Intelligence, Artificial Neural Networks, Deep Learning, Disease Diagnosis
Related Pillar(s)
Community, Study
Applying Artificial Intelligence, Deep Learning models to support disease diagnosis
H239
Applications of artificial intelligence (AI) are becoming very popular in many different forms. The application of these advanced techniques to support disease diagnosis is one of the topics that has received much attention. In this presentation, we will present some key points of AI, specifically about Deep Learning models. From there, we will present some applications of these models in supporting the early detection of Alzheimer's disease or brain tumors. The presentation also presents some recent research results of the author group that have been published in good peer-reviewed journals in the SCIE/Scopus category on these topics.
Short Biography
Helen Dang received her Ph.D. degree in Computer Science in 2010. She is currently a Prof. of Computer Science at Dept. of Department of Mathematics and Computer Science, Molloy University. She is the author or editor of six books and more than 50 papers. In addition, she is a PI/Co-PI or member of many national, ministerial, and corporate projects to solve real-world problems. Her research interests include Artificial Intelligence, Artificial Neural Networks, Deep Learning, Data analytics and some healthcare problems.