Don’t Miss Out on IEEE AIHC24: The Premier Workshop on AI in Healthcare!
Attention all researchers, academics, and industry professionals in the field of Artificial Intelligence in Healthcare! The fifth IEEE Workshop on Artificial Intelligence for HealthCare (AIHC 2024) is just around the corner, and it’s your chance to be part of this exciting event. Co-located with IEEE IRI 2024 in San Jose, CA, USA, this workshop aims to bring together experts and enthusiasts to share their knowledge and experiences in the rapidly evolving field of AI in healthcare.
Topics of interest include machine/deep learning for cancer detection and prediction, medical images classification, case-based reasoning for automatic diagnosis, artificial intelligence techniques in medicine, knowledge discovery in medicine, medical expert systems, machine learning-based medical systems, and medical signal and image processing techniques. The workshop will feature a rigorous review process, with papers selected based on originality, significance, relevance, and clarity of presentation.
Important dates to keep in mind are the paper submission deadline of April 22nd, 2024, paper notification on May 20th, 2024, camera-ready submission deadline of June 17th, 2024, and conference events from August 7th-9th, 2024.
Submitted papers must be unpublished and not considered elsewhere for publication, and must be in English, up to 6 pages in IEEE format, including references and appendices. The IEEE LaTeX and Microsoft Word templates, as well as formatting guidelines, can be found on the paper submission instructions available at the main conference website.
At least one of the authors must register and present each accepted paper, and registered and presented papers will be published as workshop papers in the IEEE IRI conference proceedings published by IEEE Computer Society Press and included in the IEEE Xplore Digital Library.
The workshop is chaired by Lydia Bouzar-Benlabiod of Acadia University, Canada, and features a program committee of esteemed experts in the field, including Moulay Akhloufi, Amir Eaman, Leila Hamdad, Khaled Harrar, Abdellah Kaci, Chiranjeevi Karri, Rakesh Kumar Mahendran, Sazia Mahfuz, Andrew McIntyre, António J. R. Neves, and Edwige Pissaloux.
Don’t miss this opportunity to connect with like-minded individuals, share your research, and learn from others in the field of AI in healthcare. For more information, please contact Lydia.bouzar-benlabiod at acadiau.ca.