The demo track invites submissions from academia and industry for live demonstrations of either prototype or production software systems that apply AI methods for solving problems in the biomedical field, suiting any of the AIME topic areas. The demo should be the result of innovative work including solving novel technical or research problems or creating novel user interfaces.
 
We also welcome submissions related to the use of data analytics, data management and machine learning to manage relevant data and learn about the COVID-19 epidemic, including but not limited to epidemic modelling, healthcare, disease detection, and logistics.
 
Authors of accepted demo track papers will be expected to be present at the conference site and perform a live demo. Accepted demos will appear in the proceedings of the conference.

Submission

The submission should describe the technical innovation that produced the demonstrated system, as well as the biomedical problem that is being solved. A submission should contain an introduction, brief description, screenshots, a description of the technical or research novelty, and its potential applications for solving biomedical problems. Submissions should not exceed 4 pages (LNCS format) with 1 additional page for references. Submissions should further specify what the hardware requirements are for the demo, if any (for the organizers). Authors are also encouraged to submit a URL to a 2-minute YouTube video showing the demo, or link to an online version of the deployed software.
 
Demo submissions should be sent to the Demo Chair, This email address is being protected from spambots. You need JavaScript enabled to view it.. All submissions will undergo a common review process with 2-3 reviewers per demo.
 
For more information about submitting a demo, please contact the chair.

Important Dates

Demo submission deadline: Mar 31 2022
Notification of acceptance: Apr 30 2022
Camera-ready submission
deadline:
May 20 2022