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: MIE: Decision support
All sessionsDecision support for signal assessment of large case series in pharmacovigilance
James Barrett
Wednesday May 24, 2023 11:35 - 11:40 G3
MIE: Decision support, English, Pre-recorded + On-site, Presentation, Advanced
Parallel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification
Ankica Babic, Arash Gharehbaghi, Arash Gharehbaghi
Tuesday May 23, 2023 15:00 - 15:15 G2
MIE: Decision support, English, On site only, Presentation, Advanced
A Masked language model for multi-source EHR trajectories contextual representation learning
Ali Amirahmadi, Kobra Etminani
Wednesday May 24, 2023 11:30 - 11:35 G3
MIE: Decision support, English, On site only, Presentation, Advanced
Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients
Amira Soliman, Marcus Petersson, Jens Nygren, Lina Lundgren, Ebba Fogelberg, Petra PetraDryselius, Monika Nair, Kobra Etminani
Tuesday May 23, 2023 14:00 - 14:15 G2
MIE: Decision support, English, On site only, Presentation, Advanced
Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
Jens Lundström
Tuesday May 23, 2023 17:00 - 17:05 G3
MIE: Decision support, English, On site only, Presentation, Advanced
Transitioning from Data to Patient Benefit: A Use-Case
Amira Soliman, Atiye Sadat Hashemi, Jens Lundström, Kobra Etminani, Louise Wandel, Sadi Alawadi
Monday May 22, 2023 10:00 - 14:00 G1
MIE: Decision support, English, On site only, Other, Advanced
Separate registration required: https://www.mie2023.org/tutorials, Transitioning from data to a clinical decision support system able tobenefit patients involves a plethora of perspectives within the following domains:clinical, legal, technical, managerial, and system development. This requires multiplepartners such as healthcare providers, universities, authorities and technologyproviders to join forces. In this tutorial the partners Region Halland, SahlgrenskaUniversity Hospital, Swedish Authority for Privacy Protection, Halmstad University,AI Sweden, HallandiaV, and the Netherlands eScience Center will give theirperspectives and deep-dive into several of the challenges and possibilities of the realizationof Clinical Decisions Support Systems (CDSS), for the specific use-caseof heart failure readmission prediction.