A5071857391- Digital Mental Health Interventions
- Mental Health via Writing
- Mobile Health and mHealth Applications
- Mental Health Research Topics
- Sensor Technology and Measurement Systems
- Innovative Approaches in Technology and Social Development
- Social Media in Health Education
- Technology Use by Older Adults
- Context-Aware Activity Recognition Systems
- Emotion and Mood Recognition
- Diabetes Management and Education
- Cancer survivorship and care
- Health Literacy and Information Accessibility
- Sentiment Analysis and Opinion Mining
- COVID-19 and Mental Health
- Scheduling and Timetabling Solutions
- Biomedical Text Mining and Ontologies
- Smart Cities and Technologies
- IoT and Edge/Fog Computing
- Healthcare Operations and Scheduling Optimization
- Optimism, Hope, and Well-being
- Assistive Technology in Communication and Mobility
- Topic Modeling
- Artificial Intelligence in Healthcare
- Cancer Cells and Metastasis
University of Maribor
2021-2025
Cancer survivors face numerous challenges, and digital health interventions can empower them by enhancing self-efficacy patient activation. This prospective study aimed to assess the impact of an mHealth app on activation in 166 breast colorectal cancer survivors. Participants received a smart-bracelet used access personalized care plans. Data was collected at baseline follow-ups, including patient-reported outcomes clinician feedback. The demonstrated positive impacts overall trial...
Prompt administration of radiotherapy (RT) is one the most effective treatments against cancer. Each day, departments large hospitals must plan numerous irradiation sessions, considering availability human and material resources, such as healthcare professionals linear accelerators. With increasing number patients suffering from different types cancers, manually establishing schedules following each patient’s treatment protocols has become an extremely difficult time-consuming task. We...
Patient-reported outcomes (PROs) and their use in the clinical workflow can improve cancer survivors’ quality of life. However, there are several challenges regarding efficient collection patient-reported integration into workflow. Patient adherence interoperability recognized as main barriers. This work implements a cancer-related study which interconnects artificial intelligence (spoken language algorithms, conversational intelligence) natural sciences (embodied agents) to create an...
Depression is a prevalent comorbidity in patients with severe physical disorders, such as cancer, stroke, and coronary diseases. Although it can significantly impact the course of primary disease, signs depression are often underestimated overlooked. The aim this paper was to review algorithms for automatic, uniform, multimodal classification from human conversations evaluate their accuracy. For scoping review, PRISMA guidelines reviews were followed. In search yielded 1095 papers, out which...
The importance and value of real-world data in healthcare cannot be overstated because it offers a valuable source insights into patient experiences. Traditional patient-reported experience outcomes measures (PREMs/PROMs) often fall short addressing the complexities these experiences due to subjectivity their inability precisely target questions asked. In contrast, diary recordings offer promising solution. They can provide comprehensive picture psychological well-being, encompassing both...
Because of the prevalence depression, its often-chronic course, relapse and associated disability, early detection non-intrusive monitoring is a crucial tool for timely diagnosis treatment, remission depression prevention relapse. In this way, impact on quality life well-being can be limited. Current attempts to use artificial intelligence classification are mostly data-driven thus non-transparent lack effective means deal with uncertainties. Therefore, in paper, we propose an end-to-end...
<sec> <title>BACKGROUND</title> Cancer survivors face various challenges but also demonstrate resilience and find ways to adapt cope with life after cancer. Self-efficacy patient activation are two crucial factors that significantly impact the well-being of cancer survivors. These concepts play a vital role in enabling take control their health, manage treatment effectively, achieve positive long-term outcomes. </sec> <title>OBJECTIVE</title> The aim this study is assess mobile health system...
Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Valentino Šafran, Umut Arioz, Izidor Mlakar; HL7 FHIR healthcare digital system for patient data incorporation visualization. AIP Conf. Proc. 14 March 2024; 3030 (1): 030002. https://doi.org/10.1063/5.0194454 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote...
Mental disorders are still common throughout the world and depression has an important impact on those people with mental in means of daily life economic burden. Thus, early detection becomes vital for patients, clinicians as well health policymakers. For depression, there is a need objective assessment approaches besides subjective ones which currently used by clinicians. In this study, we provided multimodal model non-verbal behaviors including text, audio video to provide approach. Two...
<title>Abstract</title> <bold>Background </bold>The aim of this study is to gain a comprehensive understanding the latest advancements in breast cancer recurrence markers, with identifying minimally invasive or intrusive markers as necessary approach for screening recurrence. <bold>Methods </bold>We followed PRISMA guidelines, systematically searching Web Science, Scopus, and PubMed from 2010 December 2023 secondary papers on Keywords used search databases include but are not limited to:...
Objectives: Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response workforce shortages rising care demands due an aging population. This project aims optimize resources, reduce errors, improve patient satisfaction through personalized care. Methods: The Living Lab approach was implemented split the study into sprints. first involves working with partners stakeholders define problem, brainstorm functionalities, identify limitations (24 participants)....
Collection of patient-reported outcomes (PROs) remotely and their usage in the clinical workflow provide an improvement on both patient’s quality life cancer care. However, adoption collecting PROs into is rare, existing works still have a lot issues providing holistic approach. This paper offers enhancements process by utilization conversational systems that quite new but promising way to collect with spoken interaction. Our proposed system provides interoperability Fast Healthcare...
Patient gathered health data (PGHD), including self-reports and patient-reported outcomes (PROs) based on biometry collected from the wearables, represent an important source of context into patient's life experiences. However, in light recent technological boom privacy concerns, integration sensitive sources, with knowledge extraction (data processing) health-care information systems sinks) represents a challenge. In this paper we highlight PERSIST Multimodal Sensing network (P-MSN) as...
<sec> <title>BACKGROUND</title> Due to the prevalence of depression, its often chronic course, re-occurrences, and associated disability, early detection non-intrusive monitoring present a crucial tool in timely diagnosing treatment, remission prevention relapse, therefore limiting impact on quality life well-being. Existing successful attempts exploiting artificial intelligence for classification depression are mostly data-driven thus non-transparent lacking effective means deal with...