Valentino Šafran

ORCID: 0000-0002-3664-3564
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About
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Research Areas
  • Digital Mental Health Interventions
  • Mental Health via Writing
  • Mental Health Research Topics
  • Network Security and Intrusion Detection
  • Mobile Health and mHealth Applications
  • AI in Service Interactions
  • Diabetes Management and Education
  • Social Media in Health Education
  • Cloud Data Security Solutions
  • Context-Aware Activity Recognition Systems
  • Software-Defined Networks and 5G
  • Simulation-Based Education in Healthcare
  • Artificial Intelligence in Healthcare
  • Sensor Technology and Measurement Systems
  • Surgical Simulation and Training
  • Assistive Technology in Communication and Mobility
  • Cancer survivorship and care
  • Healthcare Operations and Scheduling Optimization
  • Ergonomics and Human Factors
  • Security and Verification in Computing
  • Access Control and Trust
  • Artificial Intelligence in Healthcare and Education
  • Health Literacy and Information Accessibility
  • Information and Cyber Security
  • COVID-19 and Mental Health

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...

10.20944/preprints202502.0463.v1 preprint EN 2025-02-06

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...

10.1177/14604582251318252 article EN cc-by-nc Health Informatics Journal 2025-01-01

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...

10.3390/sym13071187 article EN Symmetry 2021-07-01

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...

10.3390/s24041101 article EN cc-by Sensors 2024-02-08

Small and medium enterprises are significantly hampered by cyber-threats as they have inherently limited skills financial capacities to anticipate, prevent, handle security incidents. The EU-funded PALANTIR project aims at facilitating the outsourcing of supervision external providers relieve SMEs/MEs from this burden. However, good practices for operation SME/ME assets involve avoiding their exposure parties, which requires a tightly defined timely enforced policy when resources span across...

10.3390/s23031658 article EN cc-by Sensors 2023-02-02

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...

10.1016/j.eswa.2024.125025 article EN cc-by Expert Systems with Applications 2024-08-08

<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...

10.2196/preprints.57575 preprint EN 2024-02-21

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...

10.1063/5.0194454 article EN AIP conference proceedings 2024-01-01

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...

10.1063/5.0194105 article EN AIP conference proceedings 2024-01-01

<title>Abstract</title> Aims and Objective: The study aimed to evaluate the feasibility preliminary effects of a SAR intervention on patient engagement, perceived quality care, health-related life in surgical wards. Background: healthcare sector faces significant challenges, including workforce shortages increasing demands. Socially Assistive Robots (SARs) have emerged as potential solution enhance outcomes, such life. However, their implementation hospital wards remains largely unexplored....

10.21203/rs.3.rs-5277784/v1 preprint EN cc-by Research Square (Research Square) 2024-10-30

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)....

10.1177/14604582241291380 article EN cc-by-nc Health Informatics Journal 2024-10-01

This paper outlines the PALANTIR framework to assist small (SME) and micro enterprises (ME) with a holistic approach towards securing their infrastructure. The platform will deliver Risk Assessment enabling informed decisions related cybersecurity investment. As highlighted through described use-case, protect infrastructure resources Threat Intelligence as advanced AI Models exploiting threat sharing, are delivered in SecaaS mode. Remediation Engine tailored solution each owner of SME/ME...

10.1109/isdfs52919.2021.9486359 article EN 2021-06-28

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...

10.37394/23208.2021.18.13 article EN WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 2021-08-05

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...

10.1109/iceccme52200.2021.9591125 article EN 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) 2021-10-07

<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...

10.2196/preprints.46022 preprint EN 2023-01-26
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