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teaam:start [2019/03/04 21:06] – [Program Committee] gjn | teaam:start [2020/04/15 15:52] (current) – [Transparent, Explainable and Affective AI in Medical Systems (TEAAM)] gjn | ||
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====== Transparent, | ====== Transparent, | ||
- | TEAAM 2019 is a workshop to be held on the [[http://aime19.aimedicine.info|17th Conference on AI in Medicine (AIME)]] | + | **The permanent webpage for TEAAM is [[http://teaam.geist.re]]** |
- | Chairs: [[http:// | ||
- | {{ :teaam:aime2019teaam-cfp2.pdf |Call for papers}} | + | TEAAM 2020 is the 2nd edition of workshop to be held on the [[http:// |
+ | |||
+ | Chairs: | ||
+ | [[https:// | ||
+ | [[http:// | ||
+ | [[http:// | ||
+ | [[http:// | ||
+ | [[http:// | ||
+ | |||
+ | The 1st edition TEAAM 2019 was held on the [[http:// | ||
+ | Workshop proceedings [[https:// | ||
===== Organizers ===== | ===== Organizers ===== | ||
- | Grzegorz J. Nalepa, AGH University of Science and Technology, Jagiellonian University, Poland\\ | ||
- | Gregor Stiglic, University of Maribor, Slovenia\\ | ||
- | Sławomir Nowaczyk, Halmstad University, Sweden\\ | ||
Jose M. Juarez, University of Murcia, Spain\\ | Jose M. Juarez, University of Murcia, Spain\\ | ||
- | Jerzy Stefanowski, | + | Grzegorz J. Nalepa, Jagiellonian University, Poland\\ |
+ | Sławomir Nowaczyk, Halmstad University, Sweden\\ | ||
+ | Jerzy Stefanowski, | ||
+ | Gregor Stiglic, University of Maribor, Slovenia\\ | ||
===== Abstract ===== | ===== Abstract ===== | ||
- | Medical systems highlight important requirements and challenges for the AI solutions. In particular, demands for interpretability of models and knowledge representations are much higher than in other domains. The current health-related AI applications rarely provide | + | Medical systems highlight important requirements and challenges for AI and data mining |
+ | particular, demands for interpretability of models and knowledge representations are much higher than | ||
+ | in other domains. The current health-related AI/ | ||
+ | transparent and humanized solutions. However, from both patient' | ||
+ | need for approaches that are comprehensive, | ||
+ | recommendations, | ||
+ | |||
+ | Furthermore, | ||
+ | regulations and the real caution taken by physicians while treating the patients. Improving | ||
+ | individual' | ||
+ | healthcare team and the patient. Building up this collaboration not only requires individualized | ||
+ | personalisation, but also a proper adaptation to the gradual changes of patient’s condition, including | ||
+ | their emotional state. Recently, AI solutions have been playing an important mediating role in | ||
+ | understanding how both medical and personal factors interact with respect to diagnosis and treatment | ||
+ | adherence. As the number of such applications is expected to rapidly grow in the next few years, their | ||
+ | humanized aspect will play a critical role in their adoption. | ||
+ | |||
+ | This workshop will bring together researchers from academia and industry to discuss current topics of | ||
+ | interest in interpretability, | ||
+ | healthcare domains. | ||
===== Topics of interest ===== | ===== Topics of interest ===== | ||
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* comprehensive and interpretable knowledge representations | * comprehensive and interpretable knowledge representations | ||
* interpretable machine learning in medical applications | * interpretable machine learning in medical applications | ||
- | * explanatory user interfaces and human computer interaction for explainable | + | * human-computer interaction for explainable |
- | * consequences of black-box | + | * consequences of black-box |
* ethical aspects, law and social responsibility | * ethical aspects, law and social responsibility | ||
* emotion-based personalization and affective computing solutions in medicine | * emotion-based personalization and affective computing solutions in medicine | ||
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* context-aware interpretable medical systems | * context-aware interpretable medical systems | ||
* empowering patients and self-management through understandable AI | * empowering patients and self-management through understandable AI | ||
+ | * person-centred health care enabled by explainable data mining and machine learning | ||
===== Motivation ===== | ===== Motivation ===== | ||
- | The investment and development of AI in the clinical field offers huge societal benefits in the current era of digital medicine, with a significant amount of data around healthcare processes captured in the form of Electronic Health Records, health insurance claims, medical imaging databases, disease registries, spontaneous reporting sites, clinical trials, etc. This positive impact is put under the spotlight regarding the medical responsibilities, | + | The investment and development of AI, machine learning and data mining |
+ | huge societal benefits in the current era of digital medicine, with a significant amount of data around | ||
+ | healthcare processes captured in the form of Electronic Health Records, health insurance claims, | ||
+ | medical imaging databases, disease registries, spontaneous reporting sites, clinical trials, etc. This | ||
+ | positive impact is put under the spotlight regarding the medical responsibilities, | ||
+ | use, the emerging interest in the regulation of algorithms and the need for explanations. Predictive | ||
+ | modelling | ||
+ | offers unique opportunities for deriving health care insights. At the same time, these opportunities come | ||
+ | with significant dangers and risks that are unlike anything we have seen in the past. This controversial | ||
+ | discussion provides a number of research challenges such as 1) interpretability in Machine Learning/ | ||
+ | 2) affective AI in medicine | ||
+ | appropriate safety measures and regulation, 4) Data heterogeneity - medical data comes in many forms | ||
+ | including: structured, unstructured, | ||
+ | imperfectness and data gaps – patient records | ||
+ | data are not equally collected at each medical encounter as well as they are affected by various sources | ||
+ | of imperfectness. | ||
- | ===== Format ===== | ||
- | The proposed workshop will include paper presentations and invited talks related to the workshop topics listed above, as well as a panel discussion. All submitted papers will be subject to a review by the workshop Program Committee . Based on the number of high quality submissions we will define the length of the presentations that will be followed by time for questions and discussion from the audience. | ||
- | |||
- | ===== Proceedings ===== | ||
- | We are aiming at proving CEUR WS proceedings containg all the papers presented at the workshop. Furthermore, | ||
===== Program Committee ===== | ===== Program Committee ===== | ||
- | (tentative) | + | (tentative)\\ |
- | Martin Atzmueller, | + | Martin Atzmueller, |
Piotr Augustyniak, | Piotr Augustyniak, | ||
- | Jerzy Błaszczyński, | + | Jerzy Błaszczyński, |
David Camacho, Universidad Autonoma de Madrid, Spain\\ | David Camacho, Universidad Autonoma de Madrid, Spain\\ | ||
Manuel Campos, University of Murcia, Spain\\ | Manuel Campos, University of Murcia, Spain\\ | ||
Alex Freitas, University of Kent, United Kingdom\\ | Alex Freitas, University of Kent, United Kingdom\\ | ||
+ | Alejandro Rodríguez González, Universidad Politecnica de Madrid\\ | ||
Marcin Grzegorzek, Universität zu Lübeck, Germany\\ | Marcin Grzegorzek, Universität zu Lübeck, Germany\\ | ||
- | Jean-Baptiste Lamy, University Paris 13, France\\ | + | Jean-Baptiste Lamy, University Paris 13, France\\ |
Giorgio Leonardi, University Piemonte Orientale, Italy\\ | Giorgio Leonardi, University Piemonte Orientale, Italy\\ | ||
Helena Lindgren, Umeå University, Sweden\\ | Helena Lindgren, Umeå University, Sweden\\ | ||
Zachary Lipton, Carnegie Mellon University, USA\\ | Zachary Lipton, Carnegie Mellon University, USA\\ | ||
- | Peter Lucas Leiden University, The Netherlands\\ | ||
Agnieszka Ławrynowicz, | Agnieszka Ławrynowicz, | ||
Juan Carlos Nieves, Umeå University, Sweden\\ | Juan Carlos Nieves, Umeå University, Sweden\\ | ||
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Myra Spiliopoulou, | Myra Spiliopoulou, | ||
Stephen Swift, Brunel University, United Kingdom\\ | Stephen Swift, Brunel University, United Kingdom\\ | ||
+ | Szymon Wilk, Poznań University of Technology, Poland\\ | ||
Allan Tucker, Brunel University, United Kingdom\\ | Allan Tucker, Brunel University, United Kingdom\\ | ||
- | Cristina Soguero Ruiz, Universidad Rey Juan Carlos, Spain\\ | + | Cristina Soguero Ruiz, Universidad Rey Juan Carlos, Spain |
===== Important Dates ===== | ===== Important Dates ===== | ||
- | * Paper submission: | + | * Paper submission: |
- | * Notification: | + | * Notification: |
- | * Camera-ready: | + | * Camera-ready: |
- | * Workshop: TBD, during AIME 2019-06-26-29 | + | * Workshop: |
===== Paper submission ===== | ===== Paper submission ===== | ||
- | The Easychair installation at https:// | + | The Easychair installation at https:// |
+ | We encourage full (12pp) as well as short (6pp) original research papers. | ||
+ | Springer LNCS format of PDF submissions is required. | ||
+ | |||
+ | ===== Schedule ===== | ||
+ | |||
+ | TBA | ||