AIMC Topic: Netherlands
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Ethical aspects and user preferences in applying machine learning to adjust eHealth addressing substance use: A mixed-methods study.
International journal of medical informatics
Jul 1, 2025
BACKGROUND: Digital health interventions targeting substance use disorders are being increasingly implemented. Data science methodology has the potential to enhance involvement and efficacy of these interventions, though application may raise ethical...
Leveraging GPT-4 enables patient comprehension of radiology reports.
European journal of radiology
Jun 1, 2025
OBJECTIVE: To assess the feasibility of using GPT-4 to simplify radiology reports into B1-level Dutch for enhanced patient comprehension.
Automating Performance Status Annotation in Oncology Using Llama-3.
Studies in health technology and informatics
May 15, 2025
This work explores the automated extraction of medical information from Dutch clinical notes using Llama-3 and a limited amount of annotations. We compared zero-, one- and few-shot learning for the extraction of performance status of patients with pa...
Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.
BMC cancer
May 9, 2025
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for skin cancer triage are increasingly available to the general public. Nevertheless, their actual uptake is limited. Although endorsement by healthcare ...
The Evolving Landscape of Primary Healthcare: Exploring AI Readiness of the Dutch General Practitioners.
Studies in health technology and informatics
Apr 8, 2025
This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), p...
Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models.
Journal of Crohn's & colitis
Feb 4, 2025
BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory bowel disease (IBD). We aimed to develop and validate machine learning models to identify IBD cases in administrative data, aiming to determine the pr...
External validation of the SORG machine learning for 90-day and 1-year mortality in patients suffering from extremity metastatic disease in an European cohort of 174 patients.
Acta orthopaedica Belgica
Sep 1, 2024
Accurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally valid...
Social Robots for Elderly Care: An Inventory of Promising Use Cases and Business Models.
Studies in health technology and informatics
Jun 16, 2020
This paper discusses a study that aimed to elicit promising application areas and potential business models for social robotics in healthcare. For this goal, we conducted focus groups with care professionals and the management of elderly care organiz...
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