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 sessionsPatient Electronic Health Record as Temporal Graphs for Health Monitoring
Hugo LE BAHER
Tuesday May 23, 2023 14:45 - 15:00 G2
MIE: Decision support, English, On site only, Presentation, Advanced
PDSS: A Pharmacological Decision Support System for Diabetics patients with COVID-19
Isabel Amaya Rodríguez
Tuesday May 23, 2023 14:30 - 14:45 G2
MIE: Decision support, English, On site only, Presentation, Advanced
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
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
Convolutional neural networks for optical discrimination between histological types of colorectal polyps based on white light endoscopic images
Georgios Feretzakis
Tuesday May 23, 2023 13:45 - 14:00 G2
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.