Antti Karlsson
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View article: Complex networks approach to study comorbidities in patients with unruptured intracranial aneurysms
Complex networks approach to study comorbidities in patients with unruptured intracranial aneurysms Open
View article: Characterization of clinicopathological features, treatment practices, and outcomes among Finnish advanced breast cancer patients in real-life clinical practice
Characterization of clinicopathological features, treatment practices, and outcomes among Finnish advanced breast cancer patients in real-life clinical practice Open
Purpose In recent years, several new targeted therapies have emerged for advanced breast cancer (aBC). However, real-life data specific to aBC and different breast cancer subtypes are scarce. This retrospective cohort study was designed to…
View article: Burden of idiopathic inflammatory rheumatic diseases in occupational healthcare: increased absenteeism and healthcare resource utilization
Burden of idiopathic inflammatory rheumatic diseases in occupational healthcare: increased absenteeism and healthcare resource utilization Open
OBJECTIVES: Patients with idiopathic inflammatory rheumatic diseases (IIRD) often have decreased working capacity resulting in indirect costs. However, data on patients’ short-term sick leave has been limited. This retrospective cohort stu…
View article: Smoking is an Independent Marker of Poor Prognosis in Cutaneous Melanoma
Smoking is an Independent Marker of Poor Prognosis in Cutaneous Melanoma Open
Previous studies have suggested that persistent tobacco smoking impairs survival in cutaneous melanoma, but the effects of smoking and other prognostic factors have not been described in detail. This study examined the association of smoki…
View article: Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge Open
Through a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalog of models for prostate cancer pathology, and represents a blueprint for evaluating AI algorithms in digital pathology.Artificial i…
View article: Identification of metastatic primary cutaneous squamous cell carcinoma utilizing artificial intelligence analysis of whole slide images
Identification of metastatic primary cutaneous squamous cell carcinoma utilizing artificial intelligence analysis of whole slide images Open
Cutaneous squamous cell carcinoma (cSCC) harbors metastatic potential and causes mortality. However, clinical assessment of metastasis risk is challenging. We approached this challenge by harnessing artificial intelligence (AI) algorithm t…
View article: Automated detection of pulmonary embolism from CT-angiograms using deep learning
Automated detection of pulmonary embolism from CT-angiograms using deep learning Open
Background The aim of this study was to develop and evaluate a deep neural network model in the automated detection of pulmonary embolism (PE) from computed tomography pulmonary angiograms (CTPAs) using only weakly labelled training data. …
View article: Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit
Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit Open
BackgroundPersistent smoking after cancer diagnosis is associated with increased overall mortality (OM) and cancer mortality (CM). According to the 2020 Surgeon General's report, smoking cessation may reduce CM but supporting evidence is n…
View article: The Gaucher earlier diagnosis consensus point-scoring system (GED-C PSS): Evaluation of a prototype in Finnish Gaucher disease patients and feasibility of screening retrospective electronic health record data for the recognition of potential undiagnosed patients in Finland
The Gaucher earlier diagnosis consensus point-scoring system (GED-C PSS): Evaluation of a prototype in Finnish Gaucher disease patients and feasibility of screening retrospective electronic health record data for the recognition of potential undiagnosed patients in Finland Open
View article: Supplementary Material for: Are Breast Cancer Nomograms Still Valid to Predict the Need for Axillary Dissection?
Supplementary Material for: Are Breast Cancer Nomograms Still Valid to Predict the Need for Axillary Dissection? Open
Background: Nomograms can help in estimating the nodal status among clinically node-negative patients. Yet their validity in external cohorts over time is unknown. If the nodal stage can be estimated preoperatively, the need …
View article: Documentation of the patient’s smoking status in common chronic diseases – analysis of medical narrative reports using the ULMFiT based text classification
Documentation of the patient’s smoking status in common chronic diseases – analysis of medical narrative reports using the ULMFiT based text classification Open
Ee found that smoking status was documented in 60% of patients with chronic disease and that the clinician had discussed smoking cessation in 49% of patients who were current smokers. ULMFiT-based classifier showed good/excellent performan…
View article: Identification of Metastatic Primary Cutaneous Squamous Cell Carcinoma Utilizing Artificial Intelligence Analysis of Whole Slide Images
Identification of Metastatic Primary Cutaneous Squamous Cell Carcinoma Utilizing Artificial Intelligence Analysis of Whole Slide Images Open
View article: IL-6 and other biomarkers as predictors of severity in COVID-19
IL-6 and other biomarkers as predictors of severity in COVID-19 Open
IL-6 and CRP were the strongest predictors of severity in hospitalized patients with COVID-19.
View article: Is sleep apnea a risk factor for Covid-19? findings from a retrospective cohort study
Is sleep apnea a risk factor for Covid-19? findings from a retrospective cohort study Open
Background: In the early phase of the coronavirus disease-19 (Covid-19) pandemic, Southwest Finland remained relatively spared.By the 3 rd of May 2020, a total of 28 patients have been admitted to the Turku University Hospital.We explore b…
View article: Tissue samples into digital images, interpreted by artificial intelligence
Tissue samples into digital images, interpreted by artificial intelligence Open
Turku University Hospital and Auria Biobank aim to have all tissue specimens in digital format. The samples would be scanned from glass slides, with diagnostics in pathology performed on computers. They will also develop artificial intelli…
View article: High tumor mutation burden predicts favorable outcome among patients with aggressive histological subtypes of lung adenocarcinoma: A population-based single-institution study
High tumor mutation burden predicts favorable outcome among patients with aggressive histological subtypes of lung adenocarcinoma: A population-based single-institution study Open
View article: Is sleep apnoea a risk factor for Covid-19? Findings from a retrospective cohort study
Is sleep apnoea a risk factor for Covid-19? Findings from a retrospective cohort study Open
Background: In the early phase of the coronavirus disease-19 (Covid-19) pandemic, Southwest Finland remained relatively spared. By the 3rd of May 2020, a total of 28 patients have been admitted to the Turku University Hospital. In this pap…
View article: Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?
Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer? Open
Background: The current standard for evaluating axillary nodal burden in clinically node negative breast cancer is sentinel lymph node biopsy (SLNB). However, the accuracy of SLNB to detect nodal stage N2-3 remains debatable. Nomogr…
View article: Development of self-assessed work ability among middle-aged asthma patients—a 10 year follow-up study
Development of self-assessed work ability among middle-aged asthma patients—a 10 year follow-up study Open
The prevalence of asthma has been growing among working age people over the last decades. In this study, we examine the development of Work Ability Score (WAS) among middle-aged asthmatics in a longitudinal setting, in order to find risk f…
View article: <p>The Burden Of Chronic Obstructive Pulmonary Disease (COPD) In Finland: Impact Of Disease Severity And Eosinophil Count On Healthcare Resource Utilization</p>
The Burden Of Chronic Obstructive Pulmonary Disease (COPD) In Finland: Impact Of Disease Severity And Eosinophil Count On Healthcare Resource Utilization Open
This study demonstrated a substantial burden associated with severe and/or eosinophilic COPD for patients in Finland.
View article: Genetic architecture of human plasma lipidome and its link to cardiovascular disease
Genetic architecture of human plasma lipidome and its link to cardiovascular disease Open
View article: The burden of adult asthma in Finland: impact of disease severity and eosinophil count on health care resource utilization
The burden of adult asthma in Finland: impact of disease severity and eosinophil count on health care resource utilization Open
Objective: To describe health care resource utilization (HCRU) and associated costs in adult patients referred for specialist asthma care in Southwest Finland, by disease severity and blood eosinophil count (BEC).Methods: Thi…
View article: Genetic architecture of human plasma lipidome and its link to cardiovascular disease
Genetic architecture of human plasma lipidome and its link to cardiovascular disease Open
Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 ind…
View article: Health care resource utilization and characteristics of patients with eosinophilic asthma in secondary health care in Finland
Health care resource utilization and characteristics of patients with eosinophilic asthma in secondary health care in Finland Open
Background: Eosinophilic airway inflammation is common in asthma patients and appears to be associated with severe exacerbations and loss of asthma control. Objective: To describe the resource utilization and clinical charact…
View article: Quantitative Evaluation of 2 Scatter-Correction Techniques for <sup>18</sup>F-FDG Brain PET/MRI in Regard to MR-Based Attenuation Correction
Quantitative Evaluation of 2 Scatter-Correction Techniques for <sup>18</sup>F-FDG Brain PET/MRI in Regard to MR-Based Attenuation Correction Open
In PET, corrections for photon scatter and attenuation are essential for visual and quantitative consistency. MR attenuation correction (MRAC) is generally conducted by image segmentation and assignment of discrete attenuation coefficients…
View article: Quantum Zeno-type effect and non-Markovianity in a three-level system
Quantum Zeno-type effect and non-Markovianity in a three-level system Open
We study the coexistence of the quantum Zeno-type effect and non-Markovianity for a system decaying in a structured bosonic environment and subject to a control field. The interaction with the environment induces decay from the excited to …
View article: Verifying the Quantumness of Bipartite Correlations
Verifying the Quantumness of Bipartite Correlations Open
Entanglement is at the heart of most quantum information tasks, and therefore considerable effort has been made to find methods of deciding the entanglement content of a given bipartite quantum state. Here, we prove a fundamental limitatio…
View article: Non-Markovian dynamics in two-qubit dephasing channels with an application to superdense coding
Non-Markovian dynamics in two-qubit dephasing channels with an application to superdense coding Open
We study the performance of two measures of non-Markovianity in detecting\nmemory effects in two-qubit dephasing channels. By combining independent\nMarkovian and non-Markovian noise on the qubits, our results show that the\ntrace distance…