Programpunkter
Konferensen på Vitalis 2023 består av flera spår med paneldiskussioner, keynote-presentationer och studiosamtal. Större delen av innehållet kommer också göras tillgängligt digitalt via livesändningar och inspelade föreläsningar, tillgängliga on demand.
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Spår
Information Extraction from Medical Texts with BERT using Human-in-the-loop Labeling
Hendrik Šuvalov
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
In-Hospital Mortality Prediction by Multimodal Learning of non-English Clinical Texts
Kikue Sato, Shintaro Oyama
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Interest in and experience with the use of patient portals among adolescents in mental health care
Martine Stecher Nielsen
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Large Language Model as Unsupervised Health Information Retriever
Keyuan Jiang
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Linkage health and environmental data: case study on asthma prevalence in children and adolescents in Slovenia
Tanja Rejc
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Local Approval Processes in a Federated and Distributed Research Infrastructure - Lessons learned from the AKTIN-Project
Alexander Kombeiz
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
The AKTIN-Emergency Department Registry is a federated and distributed health data network which uses a two-step process for local approval of received data queries and result transmission. For currently establishing distributed research infrastructures, we present our lessons learned from 5 years of established operations.
Mapping exposome derived phenotypes into SNOMED codes
Guillermo Lopez Campos, Luis Marco-Ruiz
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Medical Apps for Android and iOS: Differences and Similarities
Ute von Jan, Dennis Lawin, Urs-Vito Albrecht, Evgenii Pustozerov
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Medical Semiology Teaching based on Intelligent eLearning
Eustache Muteba Ayumba
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Medical Semiology Teaching based on Intelligent eLearning is an ongoing project. The scope of our study is to emphasis the techno-pedagogy, namely the constructivism and adaptive intelligent learning in medical education for medical students and health professionals seeking to strengthen their knowledge.The semiology on the covid is only one of the phases of the project.
You like pedagogy and the generative AI, join us!
MedSecurance: Advanced Security-for-safety Assurance for Medical Device IoT (MIoT)
Parisis Gallos
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
The MedSecurance project focus on identifying new challenges in cyber security with focus on hardware and software medical devices in the context of emerging healthcare architectures. In addition, the project will review best practice and identify gaps in the guidance, particularly the guidance stipulated by the medical device regulation and directives. Finally, the project will develop comprehensive methodology and tooling for the engineering of trustworthy networks of inter-operating medical devices, that shall have security-for-safety by design, with a strategy for device certification and certifiable dynamic network composition, ensuring that patient safety is safeguarded from malicious cyber actors and technology “accidents”.
Mobile Application for Improvement of Self-Management of Type 2 Diabetes: Usability Pilot Test
Alberto Freitas
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Modeling clinical Guidelines for an Epilepsy-CDSS - The EDiTh Project
Ariadna Perez Garriga
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
[11:00h-13:00h]The knowledge transformation process involves the guideline for the diagnosis and therapy of epilepsy to an executable and computable knowledge base that serves as the basis for a decision-support system. We present a transparent knowledge representation model which facilitates technical implementation and verification. Knowledge is represented in a plain table, used in the frontend code of the software where simple reasoning is performed. The simple structure is sufficient and comprehensible also for non-technical persons (i.e. clinicians)
Modeling Patient Treatment Trajectories Using Markov Chains for Cost Analysis
Markus Haug
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Narrative trends over the COVID-19 pandemic: Digital social listening to inform WHO infodemic management
Agnese Pastorino
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
odML-tables as a Metadata Standard in Microneurography
Rainer Röhrig, Alina Troglio, Ekaterina Kutafina
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
On-Site Visualization of Ballistocardiography Data
Urs-Vito Albrecht
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Ontological Modeling of Clinical Study Forms
Jacques Hilbey, Jean Charlet
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Opportunistic screening for osteoporosis using CT scans of the knee – a pilot study
Ronnie Sebro, Mahmoud Elmahdy
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Opportunistic screening for osteoporosis using hands radiographs
Farid Gharehmohammadi
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
I am pleased to confirm my availability to present the poster from 10 am to 12 pm during the initial two days of the conference schedule.This is a retrospective study of 812 patients aged 50 years or older who had dual-energy X-ray absorptiometry (DXA) and radiographs of the hands within 12 months of each other. This dataset was randomly split into training/validation (n=533) and test (n=136) datasets. A deep learning (DL) framework was used to predict osteoporosis/osteopenia. Correlations between the textural analysis of the bones and DXA measurements were obtained. We found that the DL model had an accuracy of 82.00%, sensitivity of 87.03%, specificity of 61.00% and an area under the curve (AUC) of 74.00% to detect osteoporosis/osteopenia. Our findings show that radiographs of the hand can be used to screen for osteoporosis/osteopenia and identify patients who should get formal DXA evaluation.
Pharmacists’ experiences of using knowledge bases on medicines in pregnancy and breastfeeding
Linnéa Karlsson Lind
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad