XAI-Healthcare 2023: Explainable AI in Healthcare St. Bernardin Resort - Grand Hotel Bernardin Portoroz, Slovenia, June 15, 2023 |
Conference website | https://www.um.es/medailab/events/XAI-Healthcare/ |
Submission link | https://easychair.org/conferences/?conf=xaihealthcare2023 |
Submission deadline | April 24, 2023 |
1-day workshop June 15, 2023 in conjunction with AIME 2023, Portoroz, Slovenia
Important dates
April 24, 2023 Paper submission
May 11, 2023 Acceptance
May 15, 2023 Final mansucript
Jun 15, 2023 1-day Workshop
The purpose of XAI-Healthcare 2023 event is to provide a place for intensive discussion on all aspects of eXplainable Artificial Intelligence (XAI) in the medical and healthcare field. This should result in cross-fertilization among research on Machine Learning, Decision Support Systems, Natural Language, Human-Computer Interaction, and Healthcare sciences. This meeting will also provide attendees with an opportunity to learn more on the progress of XAI in healthcare and to share their own perspectives. The panel discussion will provide participants with the insights on current developments and challenges from the researchers working in this fast-developing field.
Explainable AI (XAI) aims to address the problem of understanding how decisions are made by AI systems by designing formal methods and frameworks for easing their interpretation. The impact of AI in clinical settings and the trust placed in such systems by clinicians have been a growing concern related to the risk of introducing AI into the healthcare environment. XAI in healthcare is a multidisciplinary area addressing this challenge by combining AI technologies, cognitive modeling, healthcare science, ethical and legal issues.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
We expect the contributions received to describe explanation methods, AI techniques and a targeted healthcare problem. Some examples are provided below for guidance, but the list of topics is not limited to these specific methods, techniques and problems.
Explanation Approaches:
- Model agnostic methods
- Feature analysis
- Visualization approaches
- Example and counterfactuals based explanations
- Fairness, accountability and trust
- Evaluating XAI
- Fairness and bias auditing
- Human-AI interaction
- Human-Computer Interaction (HCI) for XAI
- Natural Language Processing (NLP) Explainability
AI techniques:
- Blackbox ML approaches: DL, random forest, etc.
- Interpretable ML models: Rules, Trees, Bayesian networks, etc.
- Statistical models and reasoning
- Case-based reasoning
- Natural language processing and generation
- Abductive Reasoning
Target healthcare problems:
- Infection challenges (COVID, Antibiotic Resistance, etc.)
- Trustworthy AI
- Chronic diseases
- Ageing & home care
- Diagnostic systems
Committees
Organizing committee
- Concha Bielza, Dept. of Artificial Intelligence, Universidad PolitÉcnica de Madrid [contact]
- Pedro Larrañaga, Dept. of Artificial Intelligence, Universidad PolitÉcnica de Madrid [contact]
- Primoz Kocbek, Faculty of Health Sciences, University of Maribor [contact]
- Jose M. Juarez, Faculty of Computer Science, University of Murcia [contact]
- Gregor Stiglic, Faculty of Health Sciences, University of Maribor [contact]
- Alfredo Vellido, Universitat Politècnica de Catalunya and IDEAI-UPC [contact]
Program Committee (tentative)
- Alejandro Rodriguez, Universidad Politécnica de Madrid, Spain
- Bernardo Canovas-Segura, Universidad de Murcia
- Buzhou Tang, Harbin Institute of Technology, China
- Carlo Combi, University of Verona
- Caroline König, Universitat Politècnica de Catalunya, Spain
- Daniele Magazzeni, King's College London, UK
- Giorgio Leonardi, Piemonte Orientale University, Italy
- Huang Zhengxing, Faculty of Biomedical Engineering,China
- Jean-Baptiste Lamy, LIMICS, France
- Jose M. Alonso, Universidad de Santiago de Compostela, Spain
- Lluis Belanche, Universitat Politècnica de Catalunya, Spain
- Milos Hauskrecht, University of Pittsburgh, USA
- Nava Tintarev, Maastricht University, The Netherlands
- Niels Peek, University of Manchester, United Kingdom
- Paulo Felix, Universidad de Santiago de Compostela, Spain
- Pedro Cabalar, University of Coruna
- Ping Zhang, Ohio State University, USA
- Przemyslaw Biecek, Warsaw University of Technology, Poland
- Simone Stumpf, City University London, United Kingdom
- Zhe He, Florida State University, USA
Contact
All questions about submissions should be emailed to members of the organizing committee.