Print

Call for Papers/Submission

 

The AIME17 conference, June 21-23, 2017 invites all interested researchers to submit original contributions regarding the development of theory, methods, systems, and applications of AI in BioMedicine, including the application of AI approaches in biomedical informatics, healthcare organization and molecular medicine. The first call for presentations will be issued mid of July, 2016 

Scope:

Contributions to theory and methods should present or analyze novel AI theories or methodologies for solving problems in the biomedical field. It is equally possible to present new theories and methods or extensions of existing ones. In both cases, the work should demonstrate its utility for solving biomedical problems and highlight its contribution to the underlying theoretical basis. In addition, assumptions and limitations should be discussed, and novelty with respect to the state of the art.

Contributions addressing systems and applications should describe the development, implementation or evaluation of innovative, AI-based tools and systems in the biomedical application domain. These papers should both link the work to underlying theory, and either analyse the potential benefits to solve biomedical problems or present empirical evidence of benefits in clinical practice.

The scope of the conference includes the following areas:

* Big Data Analytics * Biomedical Knowledge Acquisition and Knowledge Management
* Clinical Decision Support Systems * AI methods in Telemedicine and eHealth
* Behavior Medicine * Patient Engagement Support (Personal Health Record)
* Machine Learning, Knowledge Discovery and Data Mining * Case-based Reasoning in Biomedicine
* Biomedical Ontologies and Terminologies * Document Classification and Information Retrieval
* Bayesian Networks and Reasoning Under Uncertainty * Biomedical Imaging and Signal Processing
* Temporal and Spatial Representation and Reasoning * Visual Analytics in Biomedicine
* Computerized Clinical Practice Guidelines and Protocols * Natural Language Processing
* Fuzzy Logic * Healthcare Process and Workflow Management
* AI solutions for Ambient Assisted Living  

 

Paper Submission

Papers should be submitted to the AIME17 Easy Chair Website (https://easychair.org/conferences/?conf=aime2017). Authors are asked to submit an abstract (maximum 250 words), the full paper may be uploaded one week later.

The submission website will be open from end of June, 2016.

The conference features regular papers, in two categories (please note if you submit a paper as a student):

  1. Full research papers (up to 10 pages)
  2. Short papers (up to 5 pages) and Demo papers (1 page) describing either 
    • a short research project,
    • a demonstration of implemented systems, or
    • late-breaking results (work-in-progress)

Papers should be formatted according to Springer's LNCS format (see  www.springeronline.com/lncs).

All accepted papers will appear in the conference proceedings which will be published as part of Springer's "Lecture Notes in AI" series. In addition, the authors of the best submissions will be invited to expand and refine their papers for possible publication in the journal, Artificial Intelligence in Medicine (Elsevier).

As in previous AIME conferences, proposals for the organization of tutorials and satellite workshops are sought regarding any of the above mentioned topics.

Presentations will include long (25 minutes, 20 minutes presentation, 5 minutes discussion) and short presentations (3 minutes presentation, 2 minutes discussion).

Posters (A1 size 594mm x 841mm) will be displayed in two series, a poster walk (2 minutes local presentation) will be organized.

Demos of applications are welcome, there will be opportunities for presenting software to individuals and small groups of participants.

Proposals for Workshops/Tutorials/Demos should be sent by email to This email address is being protected from spambots. You need JavaScript enabled to view it..

  

Mario Stefanelli and Marco Ramoni Best Paper Awards

The best student paper will receive an award honoring Mario Stefanelli from the University of Pavia and his accomplishments. Mario Stefanelli was one of the founders of the AIME community, an inspiration to us all, and actively helped in advancing young researchers in our field. The best student paper will be valued by the Program Committee based on the quality of both, the paper and the oral presentation at the conference. It will be awarded with € 250 thanks to the financial support granted by Springer.

The students papers have been reviewed, and 3 papers have been selected for the award by the committee, consisting of  Niels Peek, Jose Juarez, Lucia Sachhi, and Annette ten Teije:

  • Melissa Mary, Lina F. Soualmia, Xavier Gansel, Stefan Darmoni, Daniel Karlsson, Stefan Schulz: Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption
    presentation: Thursday, June 22 at 11:10 (Ontologies II / KR)

  • Zuzana Roštáková, Georg Dorffner, Önder Aydemir, Roman Rosipal: Estimation of Sleep Quality by Using Microstructure Profiles
    presentation: Thursday, June 22 at 16:15 (Temporal Methods)

  • Siqi Liu, Adam Wright, Milos Hauskrecht: Change-Point Detection Method for Clinical Decision Support System Rule Monitoring
    presentation: Thursday, June 22 at 17:05 (Temporal Methods)

 

The best paper in bioinformatics will receive an award honoring Marco Ramoni. Marco Ramoni was an outstandingly respected faculty member at Harvard, USA, and contributed to significant advances in the biomedical informatics field. The best paper in bioinformatics will be valued by the Program Committee based on the scientific quality of the paper. It will be awarded with € 250 thanks to the financial support granted by Springer.

The papers in bioinformatics have been reviewed, and 3 papers have been selected for the award by the committee, consisting of Aleksander Sadikov, Barbara Di Camillo, Beatriz Lopez, Lucia Sachhi, and Annette ten Teije:

  • Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach
    Pedro Pereira Rodrigues, Daniela Ferreira-Santos, Ana Silva, Jorge Polonia, Ines Ribeiro-Vaz

  • Modelling Time-series of Glucose Measurements from Diabetes Patients using Predictive Clustering Trees
    Mate Beštek, Dragi Kocev, Sašo Džeroski, Andrej Brodnik, Rade Iljaž
  • Detecting Mental Fatigue from Eye-Tracking Data Gathered While Watching Video
    Yasunori Yamada, Masatomo Kobayashi

 

Time line

 

The organizing committee: