Call for Papers





Virtual Conference. Due to the COVID-pandemic, the organisation committee decided that AI4MED 2021 will be held virtually only.

Accepted papers will be presented in the conference. For each accepted paper, at least one author is expected/required to attend the conference (free of charge) and present the paper. Papers will be published as chapters in a Taylor & Francis book titled "Recent Advances in AI-enabled Automated Medical Diagnosis". Authors who intend to publish their papers in Sensors as well will be invited to submit an extended version of their papers to a Special Issue in Sensors (Impact Factor: 3.576).


We would like to invite you to contribute your research papers for the 2021 Intenational Symposium on Artificial Intelligence for Medical Applications (AI4MED 2021), which will take place in Newcastle upon Tyne, UK on 19 Aug - 21 Aug, 2021.

Dates

Abstract submission:   25th July 2021
Paper submission:   31st July 2021
Notification:   5th 10th August 2021
Revised version:   15th Aug 2021
Main Conference:   19-21 Aug 2021
Final Submission to T&F:   31st Aug 2021

Deadlines expire at 23:59 anywhere on earth on the dates displayed above.

Objectives and Scope

Recently accompanying the advancement of machine learning especially deep learning, AI-assisted medical applications have entered into a new era with exciting progress on human wellbeing. It is an amazing golden age for the interface researchers involved in the development and applications of advanced machine learning techniques to solving long-standing medical and clinical problems with the merits of powerful AI techniques. This symposium aims to capture the most recent important advances in this cross-disciplinary topic and expose the interesting topics to wide audience across the world by inpiring each other and promoting research collaboration via this communication platform for multiple parties including academic scientists, industry researchers, early career reseachers, research students, industry developers, medical services, etc...

The topics of the conference include, but are not limited to:

  • Medical Image Analysis
  • Signal Processing and Medical Imaging
  • Deep Learning for Medical Applications
  • Automated Medical Diagnostics
  • AI-assiste Pathologies
  • Brain and Neuroscience
  • Mental and Psychological Diagnosis
  • Neurodegenerative Diseases
  • ECG and Cardiaac Assessment
  • Cancer Imaging and Diagnosis
  • Hemaetology and Blood Analysis
  • Health and Wellbeing Data Analysis
  • Medical Data Management and EHR
  • Medical Biometrics
  • Medical Robotics
  • AIoT Medical Devices
  • Pandemic Prediction and Prevention
  • Ethics, Privacy and Data Security in Medical Practices
  • Any AI-related Medical Research

Submission of Contributions

We solicit the following types of papers:

  • Regular papers, with original research contributions;
  • Short papers, with original work in progress or with proposals of new ideas and emerging challenges;
  • Survey papers, on summarzing the state of the art research and advances.

The symposium also particularly welcome research papers on post-pandemic medical research and global health and medical management.

Each paper is expected to present a novel research study, a comparative study, or a survey of the literature. The length of the paper is expected to be in 12-25 pages.

All submissions should be done via EasyChair: 

https://easychair.org/conferences/?conf=ai4med2021 

Original artwork and a signed copyright release form will be required for all accepted papers.

For author instructions, please visit:

https://www.springer.com/gp/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation

Templates for Initial Submissions:

  • Word Template
  • Latex Template
  • Sample template for Final Submission:

  • Final Sample Template
  • Please upload your final draft to the google drive folder "AI4MED2021", or send a shared link of your file to ai4med2021@easychair.org. If your final version is prepared in LaTex, please zip all files into one file.