Abstract

This lecture overviews the relation between AI and medical imaging and diagnosis. First, an in informative summary of  “What is AI?” is presented, containing topics such as Symbolic AI, Data, Machine Learning (Clustering, Classification and Neural Networks). Topics that are related to book content creation, e.g., image processing, computer vision and natural language processing, are presented. The use of AI in proteomics (protein folding prediction) is also overviewed.  The role of AI in medical diagnosis and education is also detailed. Finally, the creation of a medical data market is presented.

Figure: Respiratory volume measurements.

Figure: Lung image Xrays (https://www.news-medical.net/news/20201218/Transfer-learning-exploits-chest-Xray-to-diagnose-COVID-19-pneumonia.aspx).

Presentation

AI-in-Medical-Imaging-v1.3

Bibliography

  1. I. Pitas, “Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology” https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860
  1. I. Pitas, “Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans” https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860
  2. I. Pitas, “Artificial Intelligence Science and Society Part C: AI Science and Society” https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860
  3. I. Pitas, “Artificial Intelligence Science and Society Part D: AI Science and the Environment” https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860

Lecturer Short CV

Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.

His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 970 papers, contributed to 46 books in his areas of interest and edited or (co-)authored another 15 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 23 international journals and General or Technical Chair of 5 international conferences. He delivered 129 keynote/invited speeches worldwide. He co-organized 38 conferences and participated in technical committees of 291 conferences. He participated in 75+ R&D projects, primarily funded by the European Union and is/was principal investigator in 47 such projects. He is the coordinator of the Horizon Europe R&D project TEMA ( https://tema-project.eu/), AUTH principal investigator in H2020 R&D projects AI4Media (https://www.ai4media.eu/ one of the 4 H2020 ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe (https://www.egi.eu/project/ai4europe/), SIMAR (https://simar-project.eu/). He is chair of the International AI Doctoral Academy (AIDA) (https://www.i-aida.org/).  He was chair and initiator of the IEEE Autonomous Systems Initiative (https://ieeeasi.signalprocessingsociety.org/). He has 37300+ citations to his work and h-index 92+.

Email: pitas@csd.auth.gr

AIIA Lab: https://aiia.csd.auth.gr/

Useful links: https://scholar.google.gr/citations?hl=en&user=lWmGADwAAAAJ

https://research.com/university-rankings/computer-science/gr

Theme: Illdy. Copyright © 2018 Icarus. All Rights Reserved.