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Studies in health technology and informatics最新文献

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Investigating AI Approaches for Survival Prediction in Chronic Lymphocytic Leukemia.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250056
Abdelmalek Mouazer, Edgar Degroodt, Florence Nguyen-Khac, Elise Chapiro
{"title":"Investigating AI Approaches for Survival Prediction in Chronic Lymphocytic Leukemia.","authors":"Abdelmalek Mouazer, Edgar Degroodt, Florence Nguyen-Khac, Elise Chapiro","doi":"10.3233/SHTI250056","DOIUrl":"https://doi.org/10.3233/SHTI250056","url":null,"abstract":"<p><p>Chronic lymphocytic leukemia (CLL) exhibits a heterogeneous clinical course. Prognostic markers that impact patient outcomes have been identified, including MYC gene abnormalities. This study investigates machine learning (ML) models for predicting survival in CLL, comparing the performance of Random Survival Forest (RSF), Decision Tree (DT), and Cox proportional hazards models across two cohorts: MYC-positive patients and a general CLL population. Three time-to-event outcomes were assessed: 10-year from diagnosis, 10-year from cytogenetic assessment, and time to first treatment. Model performance was evaluated using the C-index and AUC, revealing that RSF and DT models outperformed Cox models in predictive accuracy. Permutation importance highlighted key predictive variables; however, RSF and DT models pose interpretability challenges compared to Cox models, which offer clear hazard ratios. Additionally, an interactive application is available via Streamlit, and the source code is open access on GitHub. Despite limitations in dataset size and external validity, ML models show promise for personalized survival predictions in CLL, especially for MYC-positive cases, underscoring the potential for further model refinement to enhance clinical usability.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"96-100"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Leveraging Large Language Models for Sentiment Analysis in Educational Contexts.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250043
Arfan Ahmed, Sarah Aziz, Alaa Abd-Alrazaq, Rawan Alsaad, Javaid Sheikh
{"title":"Leveraging Large Language Models for Sentiment Analysis in Educational Contexts.","authors":"Arfan Ahmed, Sarah Aziz, Alaa Abd-Alrazaq, Rawan Alsaad, Javaid Sheikh","doi":"10.3233/SHTI250043","DOIUrl":"https://doi.org/10.3233/SHTI250043","url":null,"abstract":"<p><p>This short communication presents preliminary findings on the application of Large Language Models (LLMs) for sentiment analysis in educational settings. By analyzing qualitative descriptions derived from student reports, we aimed to assess students' emotional states and attitudes towards their academic performance. The sentiment analysis provided valuable insights into student engagement and areas requiring attention. Our results indicate that LLMs can effectively process and analyze textual data, offering a more nuanced understanding of student sentiments compared to traditional coding methods. This approach highlights the potential of LLMs in enhancing educational assessments and interventions.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"36-37"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessment of Social Robotics for the Enhancement of Cognitive and Physical Functioning in Older Adults.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250116
Michael Thanh Tinh Nguyen, Pascal Leuthold, Murat Sariyar
{"title":"Assessment of Social Robotics for the Enhancement of Cognitive and Physical Functioning in Older Adults.","authors":"Michael Thanh Tinh Nguyen, Pascal Leuthold, Murat Sariyar","doi":"10.3233/SHTI250116","DOIUrl":"https://doi.org/10.3233/SHTI250116","url":null,"abstract":"<p><p>In the field of elder care, many countries are facing a shortage of nursing staff, which presents a significant challenge that necessitates innovative solutions to support older individuals in nursing homes. This article explores a use case involving the Cruzr robot, designed to engage the cognitive and physical abilities of older adults. We present the results of a usability study demonstrating that the Cruzr is capable of motivating and entertaining older individuals; however, it also reveals significant shortcomings. Notably, the challenges associated with integrating social robotics are often underestimated. Based on our findings, we conclude that social robotics, in its current form, does not effectively address the issue of workforce shortages in elder care. On the contrary, it may even exacerbate the problem by introducing additional burdens.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"379-383"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring Bullshit in the Field of Medical Informatics: A Critical Perspective.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250069
Matthias Bender, Murat Sariyar
{"title":"Exploring Bullshit in the Field of Medical Informatics: A Critical Perspective.","authors":"Matthias Bender, Murat Sariyar","doi":"10.3233/SHTI250069","DOIUrl":"https://doi.org/10.3233/SHTI250069","url":null,"abstract":"<p><p>Medical informatics continues to face significant challenges in establishing itself as a fully recognized scientific discipline. This lack of recognition can sometimes foster endeavors that, while appealing to uninformed audiences, may lack substantive scientific merit. This paper examines the concept of \"bullshit\" within the field, distinguishing between two forms: intentional misrepresentation (F-bullshit) and uncritical proliferation of assertions as truth (C-bullshit). By analyzing two case studies - the implementation of a national electronic health record (EHR) system in Switzerland and the use of patient-reported outcomes (PROMs) - we demonstrate how these types of bullshit sometimes emerge in medical informatics. We argue that a thorough investigation into the epistemological foundations of the discipline is essential for clearly delineating authentic scientific progress from superficial or misleading representations that may only mimic scientific rigor.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"159-163"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meta-Analysis of Radiotherapy Audit Data.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250079
Elizabeth A Cooke, Ellie Smyth, Spencer A Thomas, Catharine H Clark, Mohammad Hussein
{"title":"Meta-Analysis of Radiotherapy Audit Data.","authors":"Elizabeth A Cooke, Ellie Smyth, Spencer A Thomas, Catharine H Clark, Mohammad Hussein","doi":"10.3233/SHTI250079","DOIUrl":"https://doi.org/10.3233/SHTI250079","url":null,"abstract":"<p><p>Standardised digital records can improve access and quality of health services and enable meta-analysis of data which may reveal unknown patterns, which improve our understanding of the data. In this study, we report on meta-analysis of data curated from advanced radiotherapy dosimetry audits conducted at hospitals across the UK using test objects developed at the National Physical Laboratory. This meta-analysis highlights hospitals which are performing within expectation, or outside of expected intervals and would benefit from measurement support. Anonymised hospitals with low precision or accuracy treatment plans are identified, enabling support and improvements where appropriate. The results presented may be used to provide insight to hospitals and inform areas of focus for improved predictions of radiation dose that are tailored to a given hospital. Moreover, this analysis can enable auditors and regulators to provide additional services or recommendations, and potentially identify previously unknown patterns or dependencies in the data.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"206-210"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data Governance in Healthcare AI: Navigating the EU AI Act's Requirements.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250050
Konstantinos Kalodanis, Georgios Feretzakis, Panagiotis Rizomiliotis, Vassilios S Verykios, Charalampos Papapavlou, Ioannis Koutsikos, Dimosthenis Anagnostopoulos
{"title":"Data Governance in Healthcare AI: Navigating the EU AI Act's Requirements.","authors":"Konstantinos Kalodanis, Georgios Feretzakis, Panagiotis Rizomiliotis, Vassilios S Verykios, Charalampos Papapavlou, Ioannis Koutsikos, Dimosthenis Anagnostopoulos","doi":"10.3233/SHTI250050","DOIUrl":"https://doi.org/10.3233/SHTI250050","url":null,"abstract":"<p><p>The integration of Artificial Intelligence (AI) into healthcare has the potential to revolutionize patient care, diagnostics, and treatment planning. However, this integration also introduces significant challenges related to data governance, privacy, and compliance with emerging regulations. The European Union's (EU) AI Act proposes a comprehensive regulatory framework aimed at ensuring that AI systems are trustworthy and respect fundamental rights. This paper provides an in-depth analysis of the data governance requirements stipulated by the EU AI Act specifically within the context of healthcare AI. Furthermore, it explores strategies for compliance, examines the interplay with existing regulations such as the General Data Protection Regulation (GDPR), and addresses the ethical considerations inherent in deploying AI in healthcare settings.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"66-70"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing Lifestyle-Focused Digital Twin Archetypes in Heart Care.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250092
Anders Borkenhagen, Ankica Babic
{"title":"Developing Lifestyle-Focused Digital Twin Archetypes in Heart Care.","authors":"Anders Borkenhagen, Ankica Babic","doi":"10.3233/SHTI250092","DOIUrl":"https://doi.org/10.3233/SHTI250092","url":null,"abstract":"<p><p>Digital twin technology is a potential transformative tool in heart care, enabling precise modeling of cardiovascular functions. However, current applications predominantly focus on physiological processes and short-term medical interventions, neglecting the integration of long-term lifestyle factors such as diet, physical activity, stress management, and sleep patterns-key contributors to heart health. This paper addresses this critical research gap by proposing a three-level framework for lifestyle-focused digital twin archetypes: basic (utilizing self-reported data for general health guidance), intermediate (incorporating wearable-generated data for dynamic feedback), and advanced (combining comprehensive clinical and lifestyle data for detailed simulations and personalized treatment planning). By integrating lifestyle factors, the framework could enhance personalization, patient engagement, and improve long-term health outcomes. The approach emphasizes multidisciplinary collaboration and paves the way for a holistic understanding of heart health, offering scalable solutions to bridge technology and lifestyle for better cardiovascular care.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"265-269"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI and Machine Learning Computational Modeling that Takes into Consideration Gut Microbiota for a Personalized Decision Support Preoperative Planning for an Optimum Liver Regeneration After Partial Hepatectomy.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250048
Constantinos S Mammas, Adamantia S Mamma
{"title":"AI and Machine Learning Computational Modeling that Takes into Consideration Gut Microbiota for a Personalized Decision Support Preoperative Planning for an Optimum Liver Regeneration After Partial Hepatectomy.","authors":"Constantinos S Mammas, Adamantia S Mamma","doi":"10.3233/SHTI250048","DOIUrl":"https://doi.org/10.3233/SHTI250048","url":null,"abstract":"<p><strong>Introduction: </strong>Gut microbiota (GM) is implicated in the remnant liver regeneration (LR) after partial hepatectomy (PH) and affects outcomes. Our study shifts the algorithmic computational modeling from the classical knowledge of (LR) to that of (GM) implication, integrating Artificial Intelligence/Machine Learning (AI/ML) for risk/benefit analysis to optimize outcomes.</p><p><strong>Methods: </strong>The best model predicting postoperative liver volume (LR) has been developed upon the classic biological knowledge. This phenomenological model predicts, whether liver size would recover or remain irreversibly reduced and it is not perfect.</p><p><strong>Results: </strong>Focusing on the impact of (GM) on (LR) after PH and the current articles upon (GM) and its impact on the change of the medical dogma integrated (GM), (AI/ML) to provide new predictive and therapeutics capabilities after PH.</p><p><strong>Conclusion/discussion: </strong>Personalized and precise preoperative preparation for PH can optimize anatomic PH, pre-operative planning and outcomes upon AI/ML risk/benefit analysis integrating the impact and measurements of (GM).</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"55-60"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Elderly Engagement with Technology for Healthcare: A Survey-Based Study.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250100
Manuel Bolaños, Cesar Collazos, Jesus Insuasti
{"title":"Elderly Engagement with Technology for Healthcare: A Survey-Based Study.","authors":"Manuel Bolaños, Cesar Collazos, Jesus Insuasti","doi":"10.3233/SHTI250100","DOIUrl":"https://doi.org/10.3233/SHTI250100","url":null,"abstract":"<p><p>This study investigates technology usage patterns, learning interests, and self-directed learning attitudes among elderly individuals. Through a survey administered to 61 elderly participants, we analyzed responses regarding their frequency of technology use, interest in learning digital devices, and personal views on self-directed learning. Findings reveal high engagement levels with technology and a strong inclination toward learning new technological skills for healthcare. These insights suggest an evolving readiness in the elderly demographic to integrate technology into daily life, underscoring the need for accessible and senior-friendly digital literacy programs.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"302-306"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the Impact of the EU AI Act on Medical Device Regulation.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250045
Konstantinos Kalodanis, Georgios Feretzakis, Panagiotis Rizomiliotis, Vassilios S Verykios, Charalampos Papapavlou, Apostolos Skrekas, Dimosthenis Anagnostopoulos
{"title":"Evaluating the Impact of the EU AI Act on Medical Device Regulation.","authors":"Konstantinos Kalodanis, Georgios Feretzakis, Panagiotis Rizomiliotis, Vassilios S Verykios, Charalampos Papapavlou, Apostolos Skrekas, Dimosthenis Anagnostopoulos","doi":"10.3233/SHTI250045","DOIUrl":"https://doi.org/10.3233/SHTI250045","url":null,"abstract":"<p><p>Artificial Intelligence (AI) is increasingly incorporated into medical devices, revolutionizing diagnostics, treatment planning, and patient monitoring. To ensure AI's safe and ethical use, the European Commission published the AI Act in 2024, which places stringent obligations on AI systems, especially those classified as high-risk, such as medical devices. This paper evaluates the impact of the EU AI Act on existing regulations such as the Medical Device Regulation (MDR) and the In Vitro Diagnostic Regulation (IVDR). It explores challenges related to compliance, certification processes, and potential conflicts between the AI Act and existing medical device frameworks while providing recommendations for harmonization.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"40-44"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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