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.
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Track
A Novel Platform for Widespread Hearing Impairment Screening and PrEvention of Risk (WHISPER)
Alessia Paglialonga, Marta Lenatti
Tuesday May 23, 2023 10:00 - 10:30 Open Seminar Area
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, Open Seminar Area, English, On site only, Other, Tools for implementation, Introductory, Management/decision makers, Politicians, Technicians/IT/Developers, Researchers, Students, Care professionals, Healthcare professionals, Patient/user organizations, Benefits/effects, Patient centration, Innovation/research, Test/validation, Apps
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
A platform promoting inter-physician interaction to support the management of adverse drug reactions for CLL patients
Panos Bonotis, Pantelis Natsiavas
Poster Area
MIE: Posters, English, On site only, Poster, Orientation, Advanced, Technicians/IT/Developers, Researchers, Students, Care professionals, Healthcare professionals, Patient/user organizations, Management, Innovation/research, Information security
Adverse Drug Reactions (ADRs) cause a significant impact on patients’ Quality of Life (QoL) and vastly increase costs, especially regarding chronic diseases. To this end, we propose a platform that aims at supporting the management of patients with Chronic Lymphocytic Leukemia (CLL), via an eHealth platform facilitating inter-physician interaction and the provision of treatment consultation by a specialized ADR management team comprised of CLL experts.
Application of process mining for modelling small cell lung cancer prognosis
Luca Marzano
Thursday May 25, 2023 11:10 - 11:25 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Tools for implementation, Advanced, Technicians/IT/Developers, Researchers, Students, Healthcare professionals, Actual examples (good/bad), Innovation/research
Process mining is a relatively new method that connects data science and process modelling. In the past years a series of applications with health care production data have been presented in process discovery, conformance check and system enhancement. In this paper we apply process mining on clinical oncological data with the purpose of studying survival outcomes and chemotherapy treatment decision in a real-world cohort of small cell lung cancer patients treated at Karolinska University Hospital (Stockholm, Sweden). The results highlighted the potential role of process mining in oncology to study prognosis and survival outcomes with longitudinal models directly extracted from clinical data derived from healthcare.
A Reliable and Secure Method for Sharing Genomic Data
João Almeida
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
A remote monitoring platform for the management of lower limb vascular diseases
Alberto Freitas, Julio Souza
Wednesday May 24, 2023 15:00 - 15:05 G4
MIE: Sensors, signals and Imaging Informatics, English, Pre-recorded + On-site, Presentation, Advanced
Assessing Quality of Life using FHIR – How to combine PRO with PGD for better compliance
Chantal Beutter
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Assessing the FAIRness of Deep Learning Models in Cardiovascular Disease using Computed Tomography Images: Data and Code Perspective
Kirubel Biruk Shiferaw
Thursday May 25, 2023 08:45 - 09:00 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Associations between Engagement with the BitHabit Digital Lifestyle Intervention and Changes in Type 2 Diabetes Risk Factors
Ilona Ruotsalainen
Wednesday May 24, 2023 17:00 - 17:05 G2
MIE: Telehealth, English, On site only, Presentation, Advanced
A Toolchain for Big Data Analyses in the Intelligent Cognitive Operating Room
Oliver Burgert
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
AUCMEDI: a framework for Automated Classification of Medical Images
Dominik Müller, Florian Auer
Monday May 22, 2023 10:00 - 14:00 R15
MIE: Sensors, signals and Imaging Informatics, English, On site only, Other, Advanced
Separate registration required: https://www.mie2023.org/tutorials, The open-source Python framework AUCMEDI offers a solution to the describedchallenges. The software package not only offers a library as a 'high-level' API for thestandardized construction of modern medical image classification pipelines, but alsoreproducible installation and direct application via Dockerization and automatichyperparameter detection. With AUCMEDI, researchers are able to set up a completeas well as easy-to-integrate medical image classification pipeline with just a few linesof code. AUCMEDI is available as a Python package via PyPI ('pip install aucmedi')and as a repository via GitHub with detailed documentation, examples, and bindings tomodern DevOps (CI/CD) techniques: https://frankkramer-lab.github.io/aucmedi/.
Automated Classification of Exercise Exertion Levels Based on Real-Time Wearable Physiological Signal Monitoring
Aileen Gabriel, AREF SMILEY, Joseph Finkelstein
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models
Vincenzo Della Mea
Thursday May 25, 2023 12:45 - 13:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Automated Monitoring Reports of the Activity of the French National Professional Suicide Prevention Helpline
Chloé Saint-Dizier, Antoine Lamer
Wednesday May 24, 2023 16:55 - 17:00 G3
MIE: Citizen health informatics, English, On site only, Presentation, Advanced
Automatic Outlier Detection in Laboratory Result Distributions within a Real World Data Network
Aida Muñoz Monjas
Thursday May 25, 2023 09:15 - 09:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Automating Structured Results Communication to Expedite Imaging-Directed Care in Spine Oncology
Charles Kahn
Wednesday May 24, 2023 16:45 - 17:00 G2
MIE: Telehealth, English, On site only, Presentation, Advanced
A Web-based Public Health Intervention for Addressing Vaccine Misinformation: Analysis of Learner Engagement and Shift in Hesitancy to Vaccinate
Leigh Powell
Wednesday May 24, 2023 16:30 - 16:45 G3
MIE: Citizen health informatics, English, On site only, Presentation, Inspiration, Introductory, Management/decision makers, Technicians/IT/Developers, Researchers, Patient/user organizations, Actual examples (good/bad), Education (verification), Innovation/research
Barriers, priorities and lessons learned in achieving electronic health records interoperability in low- and middle-income countries: Workshop findings
Philip Scott, Taiwo Adedeji, Haythem Nakkas, Hamish Fraser
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG
Theresa Bender
Wednesday May 24, 2023 13:45 - 14:00 G4
MIE: Sensors, signals and Imaging Informatics, English, On site only, Presentation, Advanced
We benchmark the influence of four types of noise annotated in the public dataset PTB-XL on the accuracy of a Deep Learning-based method for atrial fibrillation detection in 12-lead ECGs. For this we use the noise metadata provided by human experts as well as a quantitative signal-to-noise ratio for assigning a signal quality to each ECG and analyze the respective DL accuracy. We conclude that the issue of processing noisy electrocardiography data can be addressed successfully by Deep Learning methods.
Benefits of Forsante Anticoagulation - automated treatment follow-up.
Antti Särelä
Tuesday May 23, 2023 14:30 - 14:45 Vitalis Open Stage (i utställningen)
Open Stage, English, On site only
Forsante Anticoagulation is a CE certified digital service that automates the dosing of anticoagulants and treatment follow-up. Automation capabilities save up to 80% of clinicians’ time spent in the anticoagulation treatment process. Treatment quality is improved by standardising treatment models. Our data shows that patients’ treatment balance is enhanced over time in terms of TTR (time in therapeutic range). Better TTR reduces adverse events and improves safety.
Blood Vessel Segmentation using U-Net for Glaucoma Diagnosis with Limited Data
Lukas Schießer
Tuesday May 23, 2023 14:15 - 14:30 G2
MIE: Decision support, English, On site only, Presentation, Advanced