Joint Workshop on
Artificial Intelligence in Health

Stockholm, Sweden
July 13-14, 2018


Stockholm, Sweden

Date & Time

13-14 July

AIH 2018 Workshop

In Conjunction with IJCAI-ECAI-18

Invited Speaker


Get fresh insights into the world of Artificial Intelligence for Health


The Joint Workshop on AI in Health (JWAIH) consolidates the CARE, KRH4C and AI4HC workshops and aims to discuss AI technologies with medical applications. In particular, submissions are welcomed in any of the following three tracks:
Agents in Healthcare
Data Science and Decision Systems in Medicine
Knowledge Management in Healthcare

JWAIH intends to provide a discussion forum for the most recent and innovative work on the study and application of AI technologies in compelling healthcare scenarios. It will cover a wide spectrum of applications, from those aimed at easing and supporting healthcare professionals’ work to those devoted to improving patients’ lives. The event aims to discuss computational models, social computing, and agent-based solutions applied to practical solutions that address topics related to Healthcare.

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 AIH18 Easy Chair website in pdf format.

Topics of interest include, but are not limited to::

Submissions will be sorted into the three tracks above, although we also welcome submissions more broadly related to AI in Healthcare. For all papers, we strongly recommend the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work. The evaluation should demonstrate the feasibility of the presented newly developed formal methods and applications in healthcare. We specifically encourage work resulting from academia-industry partnerships.
The single day event will feature a mixture of invited talks, discussions and submitted contributions describing current work or work in progress in the area of AI in Healthcare.
Papers will be peer-reviewed by at least three reviewers. Selection criteria will include relevance, significance, impact, originality, technical soundness, and quality of presentation. Some preference may also be given to papers which address emergent trends or important common themes, or which enhance balance of workshop topics.
Revised versions of selected papers will be published as a post-proceedings in Lecture Notes in Artificial Intelligence LNCS/LNAI.

Important Dates

Paper Submission

30 April 2018


Acceptance Notification

16 May 2018


Camera Ready

16 June 2018


Keynote Speaker

To be confirmed


Date Time Event
July, 2018
Session One: Data Science
ConvNet based QRS Multilead Delineator in Electrocardiogram signals
Julià Camps, Adam McCarthy, Blanca Rodríguez and Ana Mincholé
Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning
Nathanael Fillmore, Ansh Mehta and Jeremy Weiss
Automated Pain Detection in Facial Videos of Children using Human-Assisted Transfer Learning
Xiaojing Xu, Kenneth Craig, Damaris Diaz, Matthew Goodwin, Murat Akcakaya, Busra Susam, Jeannie Huang and Virginia de Sa
Case-base maintenance of a personalized insulin dose recommender system for Type 1 Diabetes Mellitus
Ferran Torrent-Fontbona, Joaquim Massana and Beatriz Lopez
The Role of Usability Engineering in the Development an Intelligent Decision Support System
Clare Martin, Arantza Aldea, David Duce, Rachel Harrison and Marion Waite
10 Minute Extension
Session Two: Data Science
Deep learning architectures for vector representations of patients and exploring predictors of 30-day hospital readmissions in patients with multiple chronic conditions
Muhammad Rafiq, George Keel, Pamela Mazzocato, Jonas Spaak, Carl Savage and Christian Guttmann
Predicting ICU Mortality by Supervised Bidirectional LSTM Networks
Yao Zhu, Xiaoliang Fan, Jinzhun Wu, Xiao Liu, Jia Shi and Cheng Wang
Matching Networks for Personalised Human Activity Recognition
Sadiq Sani, Nirmalie Wiratunga, Stewart Massie and Kay Cooper
Predicting Observable and Occult Injuries in Trauma Patients from Sparse Measurements
Jeff Druce, Max Metzger, Nidhi Gupta and Rishi Kundi
Visualising Convolutional Neural Network Decisions in Automated Sleep Scoring>
Fernando Andreotti, Huy Phan and Maarten De Vos
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation
Charles Hamesse, Hedvig Kjellström, Paul Ackermann and Cheng Zhang
Predicting Circulatory System Deterioration in Intensive Care Unit Patients
Stephanie Hyland, Matthias Hüser, Xinrui Lyu, Martin Faltys, Tobias Merz and Gunnar Ratsch
Towards Lifted Maximum Expected Utility
Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann and Jost Steinhäuser
10 Minute Extension
Session Three: Agents in Healthcare, Data Science and Decision Systems in Medicine, Knowledge Management in Healthcare
Detecting and tracking ongoing topics in psychotherapeutic conversations
Ilyas Chaoua, Diego Reforgiato, Sergio Consoli, Aki Harma and Rim Helaoui
Generating Reward Functions using IRL Towards Individualized Cancer Screening
Panayiotis Petousis, Simon Han, William Hsu and Alex Bui
Interpretation of Best Medical Coding Practices by Case-Based Reasoning - A User Assistance Prototype for Data Collection for Cancer Registries
Michael Schnell, Sophie Couffignal, Jean Lieber, Stéphanie Saleh and Nicolas Jay
Identification of Serious Illness Conversations in Unstructured Clinical Notes using Deep Neural Networks
Isabel Chien, Alvin Shi, Alex Chan and Charlotta Lindvall
DEMO: MeSHx-Notes: Web-System for Clinical Notes Information Extraction
Henrique Santos, Rafael Nunes, Joao Soares and Renata Vieira
20 Minute Extension
July, 2018
Session Four: Agents in Healthcare
Autonomous adaptation of software agents in the support of human activities
Esteban Guerrero, Ming-Hsin Lu, Hsiu-Ping Yueh and Helena Lindgren
Smart Augmented Reality mHealth for Medication Adherence
Martin Ingeson, Madeleine Blusi and Juan Carlos Nieves
Survey of Multiagent Systems for Improving Home Health Care Management
Colja A. Becker, Fabian Lorig and Ingo J. Timm
End to end influence maximization for HIV prevention
Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe and Eric Rice
10 Minute Extension
Session Five: Agents in Healthcare, Data Science and Decision Systems in Medicine, Knowledge Management in Healthcare
Active learning experiments for the classification of smoking tweets
Aki Härmä, Andrey Polyakov and Ekaterina Chernyak
Dr. AI, Where did you get your degree?
Edward Raff, Shannon Lantzy and Ezekiel Maier
Towards Automated Pain Detection in Children using Facial and Electrodermal Activity
Xiaojing Xu, Busra Susam, Hooman Nezamfar, Kenneth Craig, Damaris Diaz, Jeannie Huang, Matthew Goodwin, Murat Akcakaya and Virginia de Sa
Preserving safety, privacy and mobility of persons living with Dementia by recognising uncharacteristic out-door movement using Recurrent Neural Networks with low computing capacity
Steve Williams, J Mark Ware and Berndt Müller

The schedule can be saved to your Google Calendar:


CEUR Workshop Proceedings of the First Joint Workshop on AI in Health 2018.

Revised versions of selected papers will be published as a post-proceedings in Lecture Notes in Artificial Intelligence LNCS/LNAI.


The workshop will take place within the frame of the Federated Artificial Intelligence Meeting (FAIM) at Stockholmsmässan.