Background and aim Patients with cancer are at high risk of malnutrition, yet relevant ICD-10 codes for malnutrition are underutilized in cancer clinics. Understanding oncologists' perspectives is crucial for optimizing malnutrition diagnosis codes and enhancing nutritional practices to improve...
Aims: The clinical utility of regional strain measurements in echocardiography is challenged by suboptimal reproducibility. In this study, we aimed to evaluate the test–retest reproducibility of regional longitudinal strain (RLS) per coronary artery perfusion territory (RLSTerritory) and basal-to...
The purpose of this study was to establish and validate a driving simulator method for assessing drug effects on driving. To achieve this, we used ethanol as a positive control, and examined whether ethanol affects driving performance in the simulator, and whether these effects are consistent with...
Background Previous research on mental health care has shown considerable differences in use of seclusion, restraint and involuntary medication among different wards and geographical areas. This study investigates to what extent use of seclusion, restraint and involuntary medication for involuntary...
Background: Early detection of amyloid-β (Aβ) aggregates is a critical step to improve the treatment of Alzheimer’s disease (AD) because neuronal damage by the Aβ aggregates occurs before clinical symptoms are apparent. We have previously shown that luminescent conjugated oligothiophenes (LCOs...
Objective 24-hour ambulatory blood pressure monitoring (24ABPM) is state of the art in out-of-office blood pressure (BP) monitoring. Due to discomfort and technical limitations related to cuff-based 24ABPM devices, methods for non-invasive and continuous estimation of BP without the need for a cuff...
In the field of robotics, caregiving robots and personal assistants are assuming an increasingly prominent role, directly impacting human lives. Especially in healthcare domains, these systems are starting to provide continuous 24/7 care by monitoring patients and delivering real-time insights into...
Fully automatic cardiac segmentation can be a fast and reproducible method to extract clinical measurements from an echocardiography examination. The U-Net architecture is the current state-of-the-art deep learning architecture for medical segmentation and can segment cardiac structures in real-time...
Catheter-based intervention procedures contain complex maneuvers, and they are often performed using fluoroscopic guidance assisted by 2D and 3D echocardiography viewed on a flat screen that inherently limits depth perception. Emerging mixed reality (MR) technologies, combined with advanced...
Learning cardiac morphology largely involves spatial abilities and studies indicate benefits from innovative 3D visualization technologies that speed up and increase the learning output. Studies comparing these teaching tools and their educational output are rare and few studies include complex...
Elderly and individuals with disabilities can greatly benefit from human activity recognition (HAR) systems, which have recently advanced significantly due to the integration of the Internet of Things (IoT) and artificial intelligence (AI). The blending of IoT and AI methodologies into HAR systems...
This study explores the integration of ChatGPT as a facilitative tool in complex design processes within a project-based Transformative Design course. Student teams collaborated with external partners on projects concerning democratization of trading, democratization of local manufacturing processes...
In an increasingly fast-paced and dynamic world with exponentially more data, more roles are required in agile software development. At the same time, the development team needs to maintain speed and autonomy. The challenges surrounding the organization of cross-functional teams are thus exacerbated...
In FinTech organizations, there are trends toward employing agile methods, moving away from legacy monolithic technical architecture to microservices architecture, and focusing on collaboration and autonomy to boost innovation. When software teams have end-to-end responsibility and decision-making...
Large-scale agile software development is increasingly being orga- nized with product management. Although product management is familiar to software engineering, we need research-based knowledge about organizing prod- uct management in an agile development context. This study focuses on product...
String alignment algorithms are an essential tool for understanding DNA and protein sequences. They demand substantial computation in real-world applications, and are thus a prime target for hardware acceleration. However, GPUs struggle to provide sufficient acceleration. Meanwhile, the recent MIMD...
Software development is a complex human-centered activity, increasingly complicated by agile organizations scaling and adopting hybrid work. While technical debt has been extensively studied, other forms of debt-organizational, process, cultural, and social-have received less attention. We conducted...
Currently, many financial organizations must undergo a digital transformation. In this study, we investigated a transformation in a Norwegian fintech company with the aim of understanding how the tasks performed by business development can be better aligned with the work of cross-functional...
Abstract Context Responding to change and continuously improving processes, practices, and products are core to agile software development. It is no different in large-scale agile, where multiple software development teams need to respond both to changes in their external environments and to changes...