Sessions
The conference at Vitalis 2023 consists of several tracks with panel discussions, keynote presentations and studio talks. Most of the content will also be available online via live broadcasts and recorded lectures, available on demand.
Search the programme and customise your agenda!
You can filter by topic, seminar type, target audience or time. There are also a number of thematic tracks in the programme.
Register for conference | Vitalis - English
Track
Can Patient Contributed Data (PCD) leverage connected health technology for cardiac rehabilitation in Austria?
Rada Hussein
Thursday May 25, 2023 12:45 - 13:00 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Can Synthetic Images Improve CNN Performance in Wound Image Classification?
LEILA MALIHI
Wednesday May 24, 2023 10:30 - 10:45 G2
MIE: Sensors, signals and Imaging Informatics, English, On site only, Presentation, Advanced
CAPSML: Bridging the Gap Between Clinicians, Lived Experience Experts, and Artificial Intelligence Systems for Glucose Regulation in Type 1 Diabetes
Chirath Hettiarachchi
Wednesday May 24, 2023 10:05 - 10:35 Open Seminar Area
Open Seminar Area, MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Pre-recorded + On-site, Other, Advanced
The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges
Challenges of estimating global feature importance in real-world health care data
Aniek Markus
Tuesday May 23, 2023 11:15 - 11:30 G1
MIE: Bioinformatics, English, On site only, Presentation, Advanced
Challenges with medication management and the National Medication List in Sweden: an interview study from a human, organizational, and technology perspective
Tora Hammar, Mikael Hoffmann, Lina Nilsson
Tuesday May 23, 2023 14:30 - 14:45 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Classification of Clinical Notes From a Heart Failure Telehealth Network
Fabian Wiesmüller
Thursday May 25, 2023 11:00 - 11:15 G3
MIE: Natural Language Processing, English, On site only, Presentation, Advanced
Classification of Healthcare Professionals
Renate Ranegger
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Classification of Parkinson’s Disease from Voice - Analysis of Data Selection Bias
Alexander Brenner
Thursday May 25, 2023 11:30 - 11:35 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Classifiers of medical eponymy in scientific texts
Dennis Toddenroth
Thursday May 25, 2023 11:15 - 11:30 G3
MIE: Natural Language Processing, English, On site only, Presentation, Advanced
Client-Side Application of Deep Learning Models through Teleradiology
Sébastien Jodogne
Wednesday May 24, 2023 14:30 - 14:45 G4
MIE: Sensors, signals and Imaging Informatics, English, On site only, Presentation, Advanced
Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in state-of-the-art hospitals, which raises concerns about the democratization of deep learning for medical imaging, most notably in the context of research and education. We show that complex deep learning models can be applied directly inside Web browsers, without resorting to any external computation infrastructure, thanks to the use of WebAssembly, and we release our code as free and open-source software. This opens the path to the use of teleradiology solutions as an effective way to distribute, teach, and evaluate deep learning architectures.
Clinical decision support: Evaluating the development of a tool for nurses
Bente Christensen, Ann Kristin Rotegård
Tuesday May 23, 2023 15:45 - 16:00 G3
MIE: Decision support, English, On site only, Presentation, Advanced
CliniDeID, an Open Source Solution for Accurate Clinical Text De-Identification
Stephane Meystre
Wednesday May 24, 2023 11:05 - 11:35 Open Seminar Area
Open Seminar Area, MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Other, Advanced
The automatic de-identification of clinical narrative text offers efficient patient data privacy protection and eases reuse of clinical data. CliniDeID applies an ensemble method combining deep and shallow machine learning with rule-based algorithms and is released as free and open-source solution to de-identify unstructured clinical text with high accuracy. It was recently evaluated with a selection of clinical text corpora and reached high sensitivity and positive predictive value.
Closing Keynote and Closing Ceremony
Persephone Doupi
Thursday May 25, 2023 14:15 - 15:30 G3
English, On site only
Clustering similar terms in a clinical problem list
Markus Kreuzthaler, Akhila Naz Kuppassery Abdulnazar
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Combining sequence similarity with physicochemical properties to predict binders for MHC-II molecules
YA LIN CHEN
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Communicating in Emergency Settings: BabelDr or Telephone Interpreting?
Céline De Graaf
Wednesday May 24, 2023 09:30 - 09:35 G3
MIE: Knowledge and Information representation and modeling, English, On site only, Presentation, Advanced
We present a study comparing two mediums that can be used to communicate with allophone patients: a speech-enabled phraselator (BabelDr) and telephone interpreting.
Comparative Analysis of Electrodermal activity Decomposition Methods in Emotion Detection using Machine Learning
Praveen Kumar Govarthan, SRIRAM KUMAR P, Tikaram
Thursday May 25, 2023 13:15 - 13:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Pre-recorded + On-site, Presentation, Advanced
Electrodermal activity (EDA) reflects sympathetic nervous system activitythrough sweating-related changes in skin conductance. Decomposition analysisis used to deconvolve the EDA into slow and fast varying tonic and phasicactivity, respectively. In this study, we used machine learning models to comparethe performance of two EDA decomposition algorithms to detect emotions such asamusing, boring, relaxing, and scary. The EDA data considered in this study wereobtained from the publicly available Continuously Annotated Signals of Emotion(CASE) dataset. Initially, we pre-processed and deconvolved the EDA data intotonic and phasic components using decomposition methods such as cvxEDA andBayesianEDA. Further, twelve-time domain features were extracted from the phasiccomponent of EDA data. Finally, we applied machine learning techniques suchas logistic regression (LR) and support vector machine (SVM), to evaluate the performanceof the decomposition method. Our results imply that the BayesianEDAdecomposition method outperforms the cvxEDA. The mean of first derivative featurediscriminated all the considered emotional pairs with high statistical significance(p<0.05). SVM was able to detect emotions better than the LR classifier.We achieved a 10-fold average classification accuracy, sensitivity, specificity, precision,and f1-score of 88.2%, 76.25%, 92.08%, 76.16%, and 76.15% respectively,using BayesianEDA and SVM classifier. The proposed framework can be utilizedto detect emotional states for the early diagnosis of psychological conditions.
Comparing Responses to COVID-19 Across Institutions: Conceptualization of an Emergency Response Maturity Model
David Kaufman
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Concept for a Basic ISO 14721 Archive Information Package for Clinical Studies
Matthias Löbe
Wednesday May 24, 2023 09:00 - 09:15 G3
MIE: Knowledge and Information representation and modeling, English, On site only, Presentation, Advanced
Conception and Development of a Targeted Alert System : Multisystem Considerations
Frederic Ehrler
Tuesday May 23, 2023 16:00 - 16:15 G1
MIE: Health information systems, English, On site only, Presentation, Advanced