AIMC Topic: Netherlands

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External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands.

Breast cancer research : BCR Aug 20, 2025
BACKGROUND: Current clinical guidelines recommend gene expression profiling to guide treatment in early-stage breast cancer. PreciseBreast (PDxBR) is a digital prognostic tool that integrates artificial intelligence (AI)-derived features from hematox...
Prognosis Retrospective Studies Female Aged Humans Artificial Intelligence Gene Expression Profiling Neoplasm Staging Neoplasm Recurrence, Local Netherlands Adult Breast Neoplasms Biomarkers, Tumor Middle Aged
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Effectiveness and Cost-Effectiveness of Using a Social Robot in Residential Care for Individuals With Challenges in Daily Structure and Planning: Protocol for a Multiple-Baseline Single Case Trial and Health Economic Evaluation.

JMIR research protocols Aug 8, 2025
BACKGROUND: A substantial number of individuals in disability care experience challenges with daily structure and planning and require 24-7 support. The use of a social robot might decrease their need for support from care professionals, leading to i...
Residential Facilities Female Male Persons with Disabilities Robotics Activities of Daily Living Netherlands Cost-Benefit Analysis Long-Term Care Humans
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Early detection of ICU-acquired infections using high-frequency electronic health record data.

BMC medical informatics and decision making Jul 21, 2025
BACKGROUND: Nosocomial infections are a major cause of morbidity and mortality in the ICU. Earlier identification of these complications may facilitate better clinical management and improve outcomes. We developed a dynamic prediction model that leve...
Humans Neural Networks, Computer Intensive Care Units Male Middle Aged Risk Assessment Sepsis Electronic Health Records Female Aged Adult Netherlands Early Diagnosis Cross Infection
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Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases.

Acta orthopaedica Jul 7, 2025
BACKGROUND AND PURPOSE:  Treatment-related shared decision-making (SDM) in older adults with hip fractures is complex due to the need to balance patient-specific factors such as life goals, frailty, and surgical risks. It includes considerations such...
Decision Making, Shared Registries Netherlands Hip Fractures Machine Learning Algorithms Retrospective Studies Female Aged Aged, 80 and over Male Humans
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Few-shot learning and deep predictive models for cost optimization and carbon emission reduction in energy-water management.

Journal of environmental management Jun 9, 2025
Effective management of energy and water resources is essential for mitigating environmental impacts and enhancing sustainability. This paper proposes a multiple-objective linear program tailored to accommodate energy-water applications in diverse cl...
Machine Learning Carbon Netherlands
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Artificial intelligence for early detection of lung cancer in GPs' clinical notes: a retrospective observational cohort study.

The British journal of general practice : the journal of the Royal College of General Practitioners May 2, 2025
BACKGROUND: The journey of >80% of patients diagnosed with lung cancer starts in general practice. About 75% of patients are diagnosed when it is at an advanced stage (3 or 4), leading to >80% mortality within 1 year at present. The long-term data in...
Artificial Intelligence Machine Learning Algorithms Retrospective Studies Electronic Health Records Female Aged Humans Netherlands General Practice Risk Assessment Lung Neoplasms Early Detection of Cancer Natural Language Processing Sensitivity and Specificity Male Middle Aged
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Optimising coronary imaging decisions with machine learning: an external validation study.

Open heart Apr 24, 2025
BACKGROUND: Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex-stratified algorithms based on electronic health...
Coronary Vessels Computed Tomography Angiography Coronary Stenosis Coronary Artery Disease Netherlands Sex Factors Humans Machine Learning Algorithms Retrospective Studies Male Middle Aged Predictive Value of Tests Coronary Angiography Electronic Health Records Female Reproducibility of Results Aged
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Predicting quality of life of patients after treatment for spinal metastatic disease: development and internal evaluation.

The spine journal : official journal of the North American Spine Society Mar 26, 2025
BACKGROUND CONTEXT: When treating spinal metastases in a palliative setting, maintaining or enhancing quality of life (QoL) is the primary therapeutic objective. Clinicians tailor their treatment strategy by weighing the QoL benefits against expected...
Cohort Studies Netherlands Spinal Neoplasms Male Middle Aged Quality of Life Humans Machine Learning Prospective Studies Female Aged Adult
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Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification.

BMC medical informatics and decision making Mar 7, 2025
BACKGROUND: Clinical machine learning research and artificial intelligence driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and ...
Echocardiography Natural Language Processing Netherlands Humans Machine Learning
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Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department.

World journal of emergency surgery : WJES Dec 23, 2024
BACKGROUND: Acute abdominal pain (AAP) constitutes 5-10% of all emergency department (ED) visits, with appendicitis being a prevalent AAP etiology often necessitating surgical intervention. The variability in AAP symptoms and causes, combined with th...
Triage Emergency Service, Hospital Appendicitis Abdominal Pain Netherlands Female Adult Male Middle Aged Humans Machine Learning Retrospective Studies
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