Advances in artificial intelligence (AI) and data science are revolutionizing healthcare, creating new possibilities for personalized medicine, accurate diagnostics, and enhanced patient outcomes. This keynote will explore how AI-driven solutions are transforming the healthcare landscape, from predictive analytics that anticipate patient needs to diagnostic tools that enable faster, more accurate disease detection. Machine learning algorithms are now powering models that can identify complex patterns in medical data, helping clinicians make data-informed decisions tailored to each patient’s unique genetic, behavioral, and lifestyle factors.
The talk will highlight recent developments in AI applications, such as imaging diagnostics for early detection of conditions like cancer and cardiovascular diseases, as well as predictive models that enable proactive intervention and risk management. We’ll discuss the growing role of AI in drug discovery, where it’s accelerating the identification of promising compounds and treatments, reducing time and cost in the research process. Attendees will gain insights into the ethical and regulatory considerations crucial to deploying AI responsibly in healthcare, ensuring data privacy, and maintaining trust in automated systems. By leveraging AI's potential, healthcare providers and researchers are paving the way for a future where care is more precise, accessible, and impactful for patients worldwide.
Dr. Siddhivinayak Kulkarni has more than 27 years of experience in the field of Computer Engineering and Information Technology. He completed his Masters and PhD from Griffith University, Australia. He was the faculty member at Nipissing University, Canada and Federation University. Dr. Kulkarni has been awarded a position of Honorary Research Fellow (HRF) from the School of Engineering and Information Technology, Federation University Australia. Dr. Kulkarni has published two books, along with number of research papers in peer reviewed journals and in the proceedings of International conferences held at various countries. Dr. Kulkarni received research grants for various projects from Universities in Canada and Australia. Dr. Kulkarni has been invited to be a Technical Program Committee member for more than 80 conferences from various countries. He has been reviewer for more than 75 International Journals and Conferences all over the world. Dr. Kulkarni had organized special sessions/workshops at the conferences in Melbourne, Sydney, Prague. Dr. Kulkarni has been invited to be an Editor-in Chief for the Journal of Image Processing Theory and Applications (ISSN 2560-6220), Canada and editorial board member for Journal of Internet of Things (IoT) and Engineering Applications (ISSN 2371-8609) Canada, International Journal of Computer Science and Information Security, Journal of Theoretical and Applied Information Technology. His research interests are health informatics, machine learning and applications of data science.