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- 2025
-
Mark
Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Schubert, Alexander Marcel
; Lingman, Markus
and Khoshnood, Ardavan M.
LU
(2025)
In International Journal of Medical Informatics
202(October 2025).
- Contribution to journal › Article
-
Mark
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
Zhang, Daqu LU ; Dihge, Looket LU ; Bendahl, Pär-Ola LU ; Arvidsson, Ida LU ; Dustler, Magnus LU
; Ellbrant, Julia
LU
; Gulis, Kim
LU
; Hjärtström, Malin
LU
; Ohlsson, Mattias
LU
and Rejmer, Cornelia
LU
, et al.
(2025)
In npj Digital Medicine
8(1).
- Contribution to journal › Article
-
Mark
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
Zhang, Daqu LU ; Dihge, Looket LU ; Bendahl, Pär-Ola LU ; Arvidsson, Ida LU
; Dustler, Magnus
LU
; Ellbrant, Julia
LU
; Gulis, Kim
LU
; Hjärtström, Malin
LU
; Ohlsson, Mattias
LU
and Rejmer, Cornelia
LU
, et al.
(2025)
In Breast Cancer Research
- Working paper/Preprint › Preprint in preprint archive
- 2024
-
Mark
Human bias and CNNs’ superior insights in satellite based poverty mapping
Sarmadi, Hamid ; Wahab, Ibrahim LU ; Hall, Ola LU ; Rögnvaldsson, Thorsteinn and Ohlsson, Mattias LU
(2024)
In Scientific Reports
14.
- Contribution to journal › Article
-
Mark
Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms
Hashemi, Atiye Sadat LU ; Ghazani, Mirfarid Musavian LU ; Ohlsson, Mattias LU
; Björk, Jonas
LU
and Dietler, Dominik
LU
(2024)
34th Medical Informatics Europe Conference, MIE 2024
In Studies in Health Technology and Informatics
316.
p.1916-1920
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Advancing personalised care in atrial fibrillation and stroke : The potential impact of AI from prevention to rehabilitation
Ortega-Martorell, Sandra LU ; Olier, Ivan ; Ohlsson, Mattias LU
and Lip, Gregory Y.H.
(2024)
In Trends in Cardiovascular Medicine
- Contribution to journal › Scientific review
-
Mark
TARGET : A Major European Project Aiming to Advance the Personalised Management of Atrial Fibrillation-Related Stroke via the Development of Health Virtual Twins Technology and Artificial Intelligence
Ortega-Martorell, Sandra ; Olier, Ivan ; Ohlsson, Mattias LU
and Lip, Gregory Y.H.
(2024)
In Thrombosis and Haemostasis
125(1).
p.7-11
- Contribution to journal › Article
-
Mark
A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
Heyman, Ellen T. LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2024)
In PLoS ONE
19(12).
- Contribution to journal › Article
-
Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2024)
Swedish Emergency Medicine Talks - SWEETS24
- Contribution to conference › Poster
-
Mark
The skåne emergency medicine (SEM) cohort
Ekelund, Ulf LU
; Ohlsson, Bodil
LU
; Melander, Olle
LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
; Forberg, Jakob Lundager
LU
; de Capretz, Pontus Olsson
LU
; Nyström, Axel
LU
and Björkelund, Anders
LU
(2024)
In Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
32.
p.1-8
- Contribution to journal › Article