AIMC Topic: Netherlands
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[Implementing new interventions and indications: the possible role for real world data].
Nederlands tijdschrift voor geneeskunde
Jan 22, 2024
In advising the preferred therapy for the individual patient the expected results of the proposed intervention and possible side effects are the most relevant considerations. However, predicting the results of an intervention is difficult, especially...
Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.
Journal of cancer survivorship : research and practice
Dec 7, 2023
PURPOSE: To prevent (chronic) cancer-related fatigue (CRF) after breast cancer, it is important to identify survivors at risk on time. In literature, factors related to CRF are identified, but not often linked to individual risks. Therefore, our aim ...
Uptake of robot-assisted colon cancer surgery in the Netherlands.
Surgical endoscopy
Aug 29, 2023
BACKGROUND: The robot-assisted approach is now often used for rectal cancer surgery, but its use in colon cancer surgery is less well defined. This study aims to compare the outcomes of robotic-assisted colon cancer surgery to conventional laparoscop...
Potential Facilitators of and Barriers to Implementing the MINI Robot in Community-Based Meeting Centers for People With Dementia and Their Carers in the Netherlands and Spain: Explorative Qualitative Study.
Journal of medical Internet research
Aug 2, 2023
BACKGROUND: Social robots, as a form of digital health technologies, are used to support emotional, cognitive, and physical care and have shown promising outcomes in enhancing social well-being in people with dementia (PwD) by boosting emotions, soci...
Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022.
European radiology
Jul 29, 2023
OBJECTIVES: To map the clinical use of CE-marked artificial intelligence (AI)-based software in radiology departments in the Netherlands (n = 69) between 2020 and 2022.
A Nationwide Study of Clinical Outcomes After Robot-Assisted Coronary Artery Bypass Surgery and Hybrid Revascularization in the Netherlands.
Innovations (Philadelphia, Pa.)
Feb 20, 2023
OBJECTIVE: Robot-assisted minimally invasive direct coronary artery bypass (RA-MIDCAB) surgery and hybrid coronary revascularization (HCR) are minimally invasive alternative strategies to conventional coronary artery bypass surgery in patients with i...
A machine learning approach to small area estimation: predicting the health, housing and well-being of the population of Netherlands.
International journal of health geographics
Jun 6, 2022
BACKGROUND: Local policymakers require information about public health, housing and well-being at small geographical areas. A municipality can for example use this information to organize targeted activities with the aim of improving the well-being o...
The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Oct 22, 2021
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given...
Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Oct 13, 2021
OBJECTIVES: To investigate the general population's view on artificial intelligence (AI) in medicine with specific emphasis on 3 areas that have experienced major progress in AI research in the past few years, namely radiology, robotic surgery, and d...
Predicting Future Service Use in Dutch Mental Healthcare: A Machine Learning Approach.
Administration and policy in mental health
Aug 31, 2021
A mental healthcare system in which the scarce resources are equitably and efficiently allocated, benefits from a predictive model about expected service use. The skewness in service use is a challenge for such models. In this study, we applied a mac...
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