The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

Background: Malnutrition and sarcopenia impact the physical health and quality of life of community-dwelling older adults. Managing these conditions requires integrating nutritional and exercise interventions delivered by professionals from diverse backgrounds. Interprofessional collaboration holds promise …

Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. …

Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. …

Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. …

This chapter explores the legal and moral implications of the use of data science in criminal justice at two levels: police surveillance and the criminal trial of a defendant. At the first level, police surveillance, data science is used to identify places and people at high risk of criminal activity, …

In an era of information overload, relevance is key. Even more so in the physical store, where consumers are in a ‘shopping state of mind’ (Shankar et al., 2010), and where still a significant proportion of all purchase decisions is being made. Relevance can be achieved by filtering information and targeting …

Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of the risks of using AI is that its outcomes and inner workings are not intelligible. In industries where trust is critical, such as healthcare and finance, explainable AI (XAI) is a necessity. However, the implementation …

Bij het succesvol implementeren van hernieuwbare energie technologieën zoals waterstof spelen sociaal-maatschappelijke aspecten een belangrijke rol. Binnen werkpakket 10 van het Hydelta 2.0 onderzoeksprogramma wordt onderzocht wat de uitdagingen en geleerde lessen zijn omtrent het bewerkstelligen van …

Background: Follow‑up of curatively treated primary breast cancer patients consists of surveillance and aftercare and is currently mostly the same for all patients. A more personalized approach, based on patients’ individual risk of recurrence and personal needs and preferences, may reduce patient burden …