The Second Workshop on
Artificial Intelligence for Diabetes

Vienna, Austria
June 24, 2017


Vienna, Austria

Date & Time

9PM - 5PM, 24 June

AIME 2017 Workshop

In Conjunction with the Artificial Intelligence in Medicine (AIME)

Invited Speaker

M. Elena Hernando (Universidad Politecnica de Madrid)

Get fresh insights into the world of Artificial Intelligence for Diabetes


The Second Workshop on Artificial Intelligence for Diabetes will take place on 24 June 2017 as part of the 16th Conference on Artificial Intelligence in Medicine (AIME) in Vienna, Austria.
The primary goal of the AID workshop is to facilitate discussion among different researchers actively engaged in finding Artificial Intelligence-based solutions to problems associated with diabetes.
The complexity of this chronic illness has lead Artificial Intelligence (AI) to become a key technology to provide solutions that empower both patients and caregivers in their everyday life.
Several publicly-funded projects have been carried to support individuals with diabetes, such as: TIDDM, EMPOWER, MOSAIC, MOBIGUIDE, COMMODITY12, DIADVISOR, DIABEO, and the newly-formed, PEPPER project. However, there is still a lot of work to be done. The aim of this workshop is to assimilate lessons learned, and future directions of research, as a first step towards final finding, compatible and complementary tools for people suffering from diabetes.

Call for Papers

We invite submissions in the following categories:

Papers should be formatted according to Springer's LNCS format.
Papers should be submitted to the AID2017 Easy Chair website.
Note that at least one presenter per paper must register for the workshop and therefore to the conference as there are no workshop only fees.

Topic areas include, but are not limited to:

Important Dates

Paper Submission

24 March

31 March

Acceptance Notification

24 April


Camera Ready

24 May


Organising Committee

Clare Martin

Oxford Brookes University

Beatriz Lopez

University of Girona

Pau Herrero Vinas

Imperial College London

To contact the organizing committe please use the following address:

Keynote Speaker

M. Elena Hernando

Profesora Titular / Associate Professor,
Universidad Politecnica de Madrid, Spain

Abstract: Diabetes is a complex disease where healthcare professionals and patients have to work together to achieve a good metabolic control. Patients play an active role in their own care and need to have the knowledge to make decisions adapted to their daily living. In such scenario, AI applications make possible to support patients’ decisions at any scenario of their daily living and additionally they open the door to react at time scales smaller than the programmed face-to-face visits times. In the past decade, the diabetes management paradigm is being transformed by the combination of continuous glucose monitoring and insulin pump data. Additionally, current wearable technologies allow to monitor other physiological parameters (i.e. heart rate, sleep quality, physical activity, etc) that have a close relationship with metabolic control. Nowadays, the challenge is to create proactive AI systems, integrated in the healthcare information systems, accessible from patients’ devices and able to collect relevant multi-parametric data from patients in a seamless way. Aspects as user interfaces’ design and user modelling play a crucial role in the success of users’ interaction with AI systems. This talk will discuss the lessons learned in previous experiences and projects and will present new opportunities for AI in diabetes.


Date Time Event
June, 2017
9:00 - 9:10
9:10 - 10:00
Invited Speaker: M. Elena Hernando
Profesora Titular / Associate Professor, Grupo de Bioingenieria y Telemedicina, ETSI Telecomunicacion, Universidad Politecnica de Madrid, Avda Complutense 30, 28040 MADRID – SPAIN
10:00 - 10:15
Automatic Adjustment of Basal Insulin Infusion Rates in Type 1 Diabetes using Run- to-Run Control and Case- Based Reasoning
Pau Herrero1, Peter Pesl1, Monika Reddy2, Nick Oliver2, and Pantelis Georgiou1
1Centre for Bio-Inspired Technology, Imperial College London, London, SW7 2AZ, UK
2Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, W2 1NY, UK
10:15 - 10:30
A CBR-based bolus recommender system for type 1 diabetes
Ferran Torrent-Fontbona, Beatriz Lopez, and Alejandro Pozo-Alonso
eXiT research group, University of Girona, Girona 17003, Catalunya
10:30 - 11:00
11:00 - 11:15
T2DM phenotypes recognition by Careflow Mining
Arianna Dagliati2, Lucia Sacchi1, Valentina Tibollo2, Giulia Cogni2, Luca Chiovato2, John H. Holmes3, Riccardo Bellazzi1
1Univesity of Pavia, Pavia, Italy
2Istituti Clinici Scientifici Maugeri, Pavia, Italy
3University of Pennsylvania, USA
11:15 - 11:30
Drug Purchases Behavioral Patterns to Support Clinical Decisions in T2D Patients
Arianna Dagliati2, Lucia Sacchi1, Valentina Tibollo2, Giulia Cogni2, Luca Chiovato2, Riccardo Bellazzi1
1Univesity of Pavia, Pavia, Italy
2Istituti Clinici Scientifici Maugeri, Pavia, Italy
11:30 - 11:45
Prediction of postprandial hypoglycemias from insulin intakes and carbohydrates: analysis and comparison between real and simulated datasets
Fabien Dubosson1, Natalia Mordanyuk2, Beatriz Lopez2, Michael Schumacher1
1AISLab group, University of Applied Sciences Western Switzerland
2eXiT research group, University of Girona, Girona 17003, Catalunya
11:45 - 12:00
A clinical decision support system for the diagnosis of Diabetic Retinopathy
Aida Valls1, Antonio Moreno1, Domenec Puig1,
Emran Saleh1, Jose Escorcia-Gutierrez12 and Jordina Torrents-Barrena2 Pedro Romero-Aroca3, Ramon Sagarra-Alamo3, and Sofia de la Riva-Fernandez3
1Dep d’Enginyeria Informatica i Matematiques, Universitat Rovira i Virgili, Spain
2Universidad Autonoma del Caribe, Colombia
3Ophthalmic Service, University Hospital Sant Joan de Reus, Institut d’Investigacio Sanitaria Pere Virgili (IISPV), Universitat Rovira i Virgili, Spain
12:00 - 12:15
Towards a Formal Model of Type 1 Diabetes for Artificial Intelligence
D. Brown, C. Martin, D. Duce, A. Aldea, R. Harrison
Department of Computing and Communication Technologies, Oxford Brookes University, UK
12:15 - 12:30
Developing a Dynamic Bio-inspired Intelligent System to Support Diabetic Patients
Mireya Munoz-Balbontin, Tjeerd V. olde Scheper, and Arantza Aldea
Department of Computing and Communication Technologies, Oxford Brookes University, UK
12:30 - 13:30
Lunch Break
13:30 - 14:30
Demonstration and Requirements Discussion of AID Repository
14:30 - 15:00
Tea Break
15:00 - 16:00
Discussion about further collaborations and future editions of the workshop

The schedule can be saved to your Google Calendar:
The schedule can also be saved to a file: Download



The workshop will take place at the Hotel Wilhelminenberg, in the Western part of Vienna, on the edge of the Vienna Woods.
The venue can be accessed by taking the bus #46A or #46B leaving from the end of the line U3, Ottakring. The buses will take you to the hotel station, 'Wilhelminenberg' (the 9th station for #46A or the 10th station for #46B, if the bus stops at all stations).
There are ticket machines in the trams and buses and at the subway stations. Tickets may be bought in advance for 24, 48, 72 hours, and for a week at the tobacco stores, online or at the ticket machines in the subway stations.
The Vienna Public Transportation App might be a useful and informative app to download.