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View article: Validation of an Automated Seizure Detection Procedure for Multi-Channel Neonatal EEG
Validation of an Automated Seizure Detection Procedure for Multi-Channel Neonatal EEG Open
This study validates an automated seizure detection algorithm for multi-channel neonatal EEG, adapting a previously published method to a dataset with fewer electrodes. The Python-based implementation, SDApy, was applied to EEG recordings …
View article: Multimodal sensing and machine learning for continuous monitoring of agitation in dementia
Multimodal sensing and machine learning for continuous monitoring of agitation in dementia Open
Background With the increase of the average life expectancy, the number of people with dementia (PwD) is expected to increase to 152 million by 2050. Agitation is a very frequent and clinically important neuropsychiatric symptom of dementi…
View article: Model-driven validation of visual explanations for multimodal emotion recognition
Model-driven validation of visual explanations for multimodal emotion recognition Open
AI-based emotion recognition approaches may benefit from the integration of multimodal data, but their explainability and validation is still a critical challenge. Indeed, the limited neurophysiological understanding of novel multimodal fe…
View article: Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study
Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study Open
Background Building on the assertion that nearly every clinician will eventually use artificial intelligence (AI), this study provides a triangulated qualitative analysis of the requirements, challenges, and prospects for integrating AI in…
View article: Clinical AI is not (yet) trustworthy-but it could be (Preprint)
Clinical AI is not (yet) trustworthy-but it could be (Preprint) Open
UNSTRUCTURED The shift toward trustworthy artificial intelligence (AI) in healthcare marks a pivotal transformation. Traditionally, clinical AI systems have lacked dynamic trust integration across their lifecycle. With structured governan…
View article: Artificial intelligence for precision medicine
Artificial intelligence for precision medicine Open
This review offers both an introduction to AI and a practical overview of how it is being used, and where its limitations lie, in precision medicine, with the goal of helping healthcare professionals understand these evolving tools and use…
View article: B-250 Core Needle Biopsy FFPET Samples: Enhanced Application of the AVENIO Tumor Tissue CGP Automated Assay
B-250 Core Needle Biopsy FFPET Samples: Enhanced Application of the AVENIO Tumor Tissue CGP Automated Assay Open
Background Small tissue biopsies, particularly core needle biopsy samples, are the preferred method for oncology as they offer a less invasive way of obtaining tissue samples than traditional surgical resections. However, sequencing-based …
View article: Environmental Triggers of Specific Subtypes of Agitation in People With Dementia: Observational Study
Environmental Triggers of Specific Subtypes of Agitation in People With Dementia: Observational Study Open
Background Among the most critical behavioral and psychological symptoms of dementia, agitation can lead to decreased quality of life of people with dementia and their caregivers. Monitoring triggers of agitation and its subtypes could ena…
View article: Artificial intelligence-generated podcasts open new doors to make science accessible: a mixed-method evaluation of quality and the potential for science communication
Artificial intelligence-generated podcasts open new doors to make science accessible: a mixed-method evaluation of quality and the potential for science communication Open
Background Over the past decade, podcasts have increasingly been recognized as valuable tools for medical education and scientific dissemination. In light of this success, academic journals have started creating their own podcast series, w…
View article: Wearable sleep recording augmented by artificial intelligence for Alzheimer’s disease screening
Wearable sleep recording augmented by artificial intelligence for Alzheimer’s disease screening Open
The recent emergence of wearable devices will enable large scale remote brain monitoring. This study investigated whether multimodal wearable sleep recordings could help screening for Alzheimer's disease (AD). Measurements were acquired si…
View article: Brain activity as a candidate biomarker for personalised caffeine treatment in premature neonates
Brain activity as a candidate biomarker for personalised caffeine treatment in premature neonates Open
Background Medication in hospitalised infants is often prescribed using a ‘one-size-fits-all’ approach due to lack of clinical biomarkers. Caffeine is one of the most frequently administered medicines in neonatology - prescribed for the ma…
View article: Artificial intelligence-generated podcasts open new doors to make science accessible: a mixed-method evaluation of quality and the potential for science communication
Artificial intelligence-generated podcasts open new doors to make science accessible: a mixed-method evaluation of quality and the potential for science communication Open
Aims Science podcasts have proved to be valuable mediums for medical education and science dissemination. Tools adopting rapidly evolving technologies such as generative artificial intelligence (GenAI) now enable us to create podcasts in a…
View article: Bridging the AI-literacy gap in healthcare: a qualitative analysis of the Flanders case-study (Preprint)
Bridging the AI-literacy gap in healthcare: a qualitative analysis of the Flanders case-study (Preprint) Open
BACKGROUND The integration of Artificial Intelligence (AI) in healthcare is advancing rapidly, promising to enhance clinical decision-making, streamline administrative tasks, and personalize patient care. However, many healthcare professi…
View article: Validation of artificial intelligence spirometry diagnostic support software in primary care: a blinded diagnostic accuracy study
Validation of artificial intelligence spirometry diagnostic support software in primary care: a blinded diagnostic accuracy study Open
Objective and design The objective of the present study was to assess the discriminative accuracy of artificial intelligence (AI) software to identify COPD and other chronic respiratory diseases from primary care spirometry. This was a dia…
View article: Automated Sleep Staging in Epilepsy Using Deep Learning on Standard Electroencephalogram and Wearable Data
Automated Sleep Staging in Epilepsy Using Deep Learning on Standard Electroencephalogram and Wearable Data Open
Automated sleep staging on wearable data could improve our understanding and management of epilepsy. This study evaluated sleep scoring by a deep learning model on 223 night‐sleep recordings from 50 patients measured in the hospital with a…
View article: Tailoring antiseizure treatment with a wearable device: A proof‐of‐concept study in absence epilepsy
Tailoring antiseizure treatment with a wearable device: A proof‐of‐concept study in absence epilepsy Open
Objective Typical absence seizures are underreported. We aimed to improve patient care using a wearable electroencephalograph (wEEG) at home and assess a machine learning (ML) pipeline for absence detection. Methods Patients with typical a…
View article: AI-powered evaluation of lung function for diagnosis of interstitial lung disease
AI-powered evaluation of lung function for diagnosis of interstitial lung disease Open
Background The diagnosis of interstitial lung disease (ILD) can pose a challenge as the pulmonary function test (PFT) is only minimally affected at the onset. To improve early diagnosis, this study aims to explore the potential of artifici…
View article: Demographic and arrangement-based predictors of Dutch people’s attitudes towards surrogacy in various family constitutions
Demographic and arrangement-based predictors of Dutch people’s attitudes towards surrogacy in various family constitutions Open
Attitudes are influenced by both demographic and arrangement-based factors. Based on these findings, families can be informed of fairly positive reactions they might encounter from their environment.
View article: SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy
SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy Open
The increasing technological advancements towards miniaturized physiological measuring devices have enabled continuous monitoring of epileptic patients outside of specialized environments. The large amounts of data that can be recorded wit…
View article: PhysioEx: a new Python library for explainable sleep staging through deep learning
PhysioEx: a new Python library for explainable sleep staging through deep learning Open
Objective. Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding sleep disorders. This work introduces PhysioEx (Physiological Signal Explainer), a Python library designed to support the analysi…
View article: Development of an Active Cerebrovascular Autoregulation Model Using Representation Learning: A Proof of Concept Study With Experimental Data
Development of an Active Cerebrovascular Autoregulation Model Using Representation Learning: A Proof of Concept Study With Experimental Data Open
BACKGROUND AND OBJECTIVES: It remains a challenge to monitor cerebrovascular autoregulation (CA) reliably and dynamically in an intensive care unit. The objective was to build a proof-of-concept active CA model exploiting advances in repre…
View article: Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates
Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates Open
A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and physiology. A crucial step of building a cardiac digital twin is anatomical twinning, where the computational mesh of the digital twin is ta…
View article: Wearable sleep recording augmented by artificial intelligence for Alzheimer’s disease screening
Wearable sleep recording augmented by artificial intelligence for Alzheimer’s disease screening Open
The recent emergence of wearable devices will enable large scale remote brain monitoring. We aimed to investigate if multimodal wearable sleep recordings could be used to screen for Alzheimer’s disease (AD). For this method-development and…
View article: Corrigendum to ‘Pulmonary endarterectomy through inverted-T upper hemisternotomy’[JTCVS Techniques Volume 28, December 2024, Pages 65-72]
Corrigendum to ‘Pulmonary endarterectomy through inverted-T upper hemisternotomy’[JTCVS Techniques Volume 28, December 2024, Pages 65-72] Open
[This corrects the article DOI: 10.1016/j.xjtc.2024.09.021.].
View article: Quality assessment of synthetic data in healthcare: a critical appraisal (Preprint)
Quality assessment of synthetic data in healthcare: a critical appraisal (Preprint) Open
BACKGROUND The creation of synthetic data in healthcare research has emerged as a compelling solution to address challenges related to data privacy, in case of data-sharing, and data scarceness for training machine learning models. OBJE…
View article: Balancing Multimodal Training Through Game-Theoretic Regularization
Balancing Multimodal Training Through Game-Theoretic Regularization Open
Multimodal learning holds promise for richer information extraction by capturing dependencies across data sources. Yet, current training methods often underperform due to modality competition, a phenomenon where modalities contend for trai…