Upon the successful completion of this webinar, you will be able to:
- Define AI and its sub-fields ML, DL, and CNN
- Identify common and technical uses of AI
- Outline the applications of AI in medical Imaging
- Explain ML as a way for computers to learn from data and make predictions, similar to how doctors improve with experience.
- Explain DL as a special part of ML that mimics how the human brain works using layers of “neurons.”
- Explain how AI is used to identify, classify, and enhance images (e.g., removing noise or boosting clarity of blurry scans).
- Outline the elements of ethical concerns, AI bias; and the responsible use of AI
- Identify emerging technologies and the challenges of the use of AI in medicine to improve patient outcomes
- Professor Euclid Seeram, PhD., FCAMRT
- Vijay Kanake, CEO Apha Singularity
Short Biographies
Professor Euclid Seeram, PhD., FCAMRT: currently serves as honorary senior lecturer at the University of Sydney, and a member of the Medical Image Optimization and Perception Group (MIOPeG)-Faculty of Health Sciences; adjunct associate professor at Monash University-Medicine, Nursing, and Health Sciences; adjunct professor at Charles Sturt University-Faculty of Science; and Adjunct Associate Professor-Faculty of Health, University of Canberra; in Australia. He has published more than 50 papers in professional radiologic technology journals and has had 20 textbooks published on computed tomography, computers in radiology, radiographic instrumentation, digital radiography, and radiation protection. He is a founding member of the Journal of Medical Imaging and Radiation Sciences and is now on editorial boards for Radiography, an International Journal of Medical Imaging and Radiation Therapy; Biomedical Imaging and Intervention Journal, and Open Journal of Radiology, Journal of Allied Health; Journal of Social Science & Allied Health Professions, and serves on the international advisory panel for the Journal of Medical Radiation Sciences. His current research interests are related to radiation dose optimization in computed tomography and digital radiography imaging systems, as well as in radiation protection related to diagnostic imaging.
Vijay Kanade, CEO Alpha Sungularity: is the founder and CEO of Alpha Singularity, a next-generation research lab at the forefront of interdisciplinary innovation. He is an AI researcher based in Pune, Maharashtra, India. To date, Vijay has been actively involved in intellectual property management, academic research, and industrial technical operations. His research portfolio spans fields such as AI, wireless technology, the Internet of Things, space science, and medical technologies. As an authority in AI, Vijay co-authored the well-regarded book ‘AI in Medical Imaging Technology,’ with Euclid Seeram. Furthermore, he has authored over 60 research papers published across multiple disciplines. In addition, he has published over 600 technical articles for various digital media and tech companies on topics such as cloud computing, big data, AI, machine learning, blockchain, security, vulnerability management, and collaboration. Vijay’s academic journey includes collaborations with top-tier universities such as MIT, Columbia University, the University of California, Central Michigan University, Manchester Metropolitan University, and the National University of Singapore, among others. Thus, his intellectual and academic pursuits have established him as a prominent thought leader in the field of Research and Development.
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