Explainable AI models for identifying anxiety and distress in cardiac patients with ICDs

Authors

J. Eriksen (ORCID: https://orcid.org/0000-0002-3016-7480)
Susanne S. Pedersen (ORCID: https://orcid.org/0000-0001-8055-3251)
Søren J. Skovbakke
Ole Skov (ORCID: https://orcid.org/0000-0002-5213-2799)
Amir Sorayaie Azar (ORCID: https://orcid.org/0000-0001-7797-7790)
Ali Ebrahimi (ORCID: https://orcid.org/0000-0002-3332-6205)
Jacob Pedersen (ORCID: https://orcid.org/0000-0001-8571-2872)
Uffe Kock Wiil (ORCID: https://orcid.org/0000-0001-6898-4083)
Ebbe Vincent Just Christensen
David Krogh Kølbæk

Institutions

University of Southern Denmark (DK)
Maersk (Denmark) (DK)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2025-12-18
DOI: https://doi.org/10.1186/s12911-025-03315-x
Primary Topic: Cardiac pacing and defibrillation studies
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Explainable AI models for identifying anxiety and distress in cardiac patients with ICDs

J. Eriksen, Susanne S. Pedersen, Søren J. Skovbakke, Ole Skov et al.

Dec 18, 2025

BMC Medical Informatics and Decision Making

Cardiac pacing and defibrillation studies

article

Explainable AI models for identifying anxiety and distress in cardiac patients with ICDs

J. Eriksen, Susanne S. Pedersen, Søren J. Skovbakke, Ole Skov, Amir Sorayaie Azar, Ali Ebrahimi, Jacob Pedersen, Uffe Kock Wiil, Ebbe Vincent Just Christensen, David Krogh Kølbæk

December 18, 2025article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 26(1)

University of Southern Denmark (DK), Maersk (Denmark) (DK)

Openalex Percentile: Top 42%

Cardiac pacing and defibrillation studies

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.