Doctoral Consortium: Call for Papers


Important Dates

  • Deadline for submission March 17th, 2017
  • Notification of acceptance April 21st, 2017
  • Deadline for Camera-Ready Copy May 14th, 2017
  • Doctoral Consortium June 21st, 2017


Aim and Who Should Attend

The seventh Doctoral Consortium for the Artificial Intelligence in Medicine (AIME) series of conferences will take place on Wednesday 21st June 2017 in conjunction with the 16th Conference on Artificial Intelligence in Medicine (AIME 2017) to be held in Vienna, Austria ( The Doctoral Consortium will provide an opportunity for PhD students to present their research plans or their preliminary work in an informal and supportive atmosphere. The PhD students will be able to discuss their plans, preliminary results (optional), and the specific problems they are encountering. They will get feedback and advice from a number of prominent academic researchers with substantial experience in the field who will actively give constructive feedback and advice and contribute to the discussions.

The Doctoral Consortium will host the presentations by about 6 PhD students who will be selected by the Doctoral Consortium chair. It will also include a short intensive tutorial on structuring a research paper (and the corresponding work) on different topics and with different perspectives (theoretical, methodological, experimental, application-oriented), and will be concluded with a general discussion and evaluation.



Unlike other conference submissions, a Doctoral Consortium submission pertains specifically to the PhD thesis as a whole or part thereof (thereafter both will be termed “the research work”). To apply for participation at the AIME 2017 Doctoral Consortium, please submit a research plan on a topic related to AI in Medicine of 2000 to 2500 words (approximately 4-5 pages) of your research work. Submissions should be submitted in PDF form, following the Springer's LNCS format (see, and should include a short description of:

Title and author
The problem, with an argument of why it is important
The goal and the research questions
Your planned approach and methods for solving the problem
An outline of what is already known about the research problem
The expected results from the research work like overviews, algorithms, better understanding of a concept, a pilot, model or system
Any questions you might have or problems you encounter for which you specifically would like feedback on such as:
  • Do I need to write a systematic review before I start?
  • How should I proceed?
  • Where should I consider publishing?
  • How should I evaluate my work?
  • Which courses would suit me best to carry out the work?
  • Is it normal to meet my supervisor once a week/month/year?

Submissions should be sent by email to John Holmes (This email address is being protected from spambots. You need JavaScript enabled to view it.) with the Subject line AIME 2017 Doctoral Consortium submission. For your safety, please add the following text to your submissions as either a watermark or in the header or footer:

The doctoral consortium chair will select about 6 submissions to be presented and discussed during the meeting. The selection is based on the relevancy to AI in Medicine topics (see for example the AIME 2017 topics), relevancy to the doctoral consortium (there is for example no point to present finished work at the meeting), the clarity of writing, and the resulting spectrum of presented topics.


Academic Panel

The Academic Panel will consist of leading researchers in the AIM field.



Participation in the meeting is open to anyone who wishes to attend and not just to the presenting PhD students. Details on payment and registration will be announced on the AIME 2017 web page. Thanks to a generous support of the AIM division of the non-profit organization IJCAI, D/C candidates will be exempt from Congress and D/C fees.



Selected submissions will appear in workshop notes that will be distributed among registered participants.


Doctoral Symposium Chair

John H. Holmes
Perelman School of Medicine
University of Pennsylvania, USA
email: This email address is being protected from spambots. You need JavaScript enabled to view it.