Studies in health technology and informatics最新文献_第10页

Continuous Vital Sign Monitoring Data in the General Ward: Exploratory Analysis. 普通病房连续生命体征监测数据的探索性分析。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250643

Lina Mosch, Mobinasadat Tayyeb, Patrick Heeren, Alexander Windberger, Anne Rike Flint, Roland Roller, Joan Alsolivany, Nils Hecht, Felix Balzer

引用次数: 0

Acceptance of Digital Health Services in Emergency Medical Services in North Greece. 希腊北部紧急医疗服务中数字医疗服务的接受情况

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250373

Despoina Andrikou, Stergiani Spyrou, Ioanna Simeli, Panagiotis Bamidis

引用次数: 0

Decoding Digital Therapeutics: A Qualitative Analysis of Software Features in German Digital Health Applications. 解码数字治疗：德国数字健康应用软件特征的定性分析。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250507

Sascha Noel Weimar, Henri Minaschek, Rahel Sophie Martjan, Orestis Terzidis

引用次数: 0

Developing a Telemedicine Curriculum with Micro-Credentialing: Insights from the Erasmus Plus TEAM Project. 开发具有微认证的远程医疗课程：来自Erasmus Plus团队项目的见解。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250539

Mircea Focsa, Virgil Rotaru

引用次数: 0

Does Whole Brain Radiomics on Multimodal Neuroimaging Make Sense in Neuro-Oncology? A Proof of Concept Study. 多模态神经影像学全脑放射组学对神经肿瘤学有意义吗？概念验证研究。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250403

Gleb Danilov, Diana Kalaeva, Nina Vikhrova, Svetlana Shugay, Ekaterina Telysheva, Sergey Goraynov, Alexandra Kosyrkova, Galina Pavlova, Igor Pronin, Dmitriy Usachev

{"title":"Does Whole Brain Radiomics on Multimodal Neuroimaging Make Sense in Neuro-Oncology? A Proof of Concept Study.","authors":"Gleb Danilov, Diana Kalaeva, Nina Vikhrova, Svetlana Shugay, Ekaterina Telysheva, Sergey Goraynov, Alexandra Kosyrkova, Galina Pavlova, Igor Pronin, Dmitriy Usachev","doi":"10.3233/SHTI250403","DOIUrl":"https://doi.org/10.3233/SHTI250403","url":null,"abstract":"Employing a whole-brain (WB) mask as a region of interest for extracting radiomic features is a feasible, albeit less common, approach in neuro-oncology research. This study aims to evaluate the relationship between WB radiomic features, derived from various neuroimaging modalities in patients with gliomas, and some key baseline characteristics of patients and tumors such as sex, histological tumor type, WHO Grade (2021), IDH1 mutation status, necrosis lesions, contrast enhancement, T/N peak value and metabolic tumor volume. Forty-one patients (average age 50 ± 15 years, 21 females and 20 males) with supratentorial glial tumors were enrolled in this study. A total of 38,720 radiomic features were extracted. Cluster analysis revealed that whole-brain images of biologically different tumors could be distinguished to a certain extent based on their imaging biomarkers. Machine learning capabilities to detect image properties like contrast-enhanced or necrotic zones validated radiomic features in objectifying image semantics. Furthermore, the predictive capability of imaging biomarkers in determining tumor histology, grade and mutation type underscores their diagnostic potential. Whole-brain radiomics using multimodal neuroimaging data appeared to be informative in neuro-oncology, making research in this area well justified.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"327 ","pages":"577-581"},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087203","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

OMOP-on-FHIR: Integrating the Clinical Data Through FHIR Bundle to OMOP CDM. OMOP-on-FHIR：通过FHIR Bundle整合临床数据到OMOP CDM。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250432

Prabath Jayathissa, Lukas Rohatsch, Stefan Sauermann, Rada Hussein

引用次数: 0

Artificial Intelligence in Narrative Feedback Analysis for Competency-Based Medical Education: A Review. 基于能力的医学教育叙事反馈分析中的人工智能研究综述

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250637

Sameer Asim Khan, Jamal Taiyara, Nabil Zary, Farah Otaki

引用次数: 0

ArtInsight: A Multimodal AI Framework for Interpreting Children's Drawings and Enhancing Emotional Understanding. ArtInsight：一个多模态人工智能框架，用于解释儿童绘画和增强情感理解。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250471

Uzair Shah, Naseem Khan, Mahmood Alzubaidi, Marco Agus, Mowafa Househ

{"title":"ArtInsight: A Multimodal AI Framework for Interpreting Children's Drawings and Enhancing Emotional Understanding.","authors":"Uzair Shah, Naseem Khan, Mahmood Alzubaidi, Marco Agus, Mowafa Househ","doi":"10.3233/SHTI250471","DOIUrl":"https://doi.org/10.3233/SHTI250471","url":null,"abstract":"Recent advancements in multimodal image-to-text models have greatly enhanced the interpretation of children's drawings for emotional understanding purposes. This paper introduces a framework that analyzes these drawings to fully automatically generate detailed reports, covering art descriptions, emotional themes, assessments, and personalized recommendations. Our approach involved annotating 5,000 images by exploiting a Large Language Model (ChatGPT) and by fine-tuning the BLIP (Bootstrapping Language-Image Pre-training) multimodal model. We performed fine-tuning in two steps: 1) we applied Low-Rank Adaptation (LoRA) to the image encoder to preserve its pre-trained features while adapting it to our task, and 2) we refined the text decoder to capture the language patterns needed for comprehensive assessments. The system processes children's artwork as input, using multimodal image-to-text techniques to derive meaningful insights. Although these reports are initial evaluations rather than formal clinical assessments, they provide a valuable starting point for understanding children's emotional and psychological states. This tool can assist art therapists, educators, and parents in gaining a deeper understanding of children's inner worlds. Our research highlights the intersection of artificial intelligence and child psychology, showing how technology can complement human expertise in nurturing children's emotional well-being. By offering a structured, AI-driven analysis of children's drawings, this framework creates new opportunities for early intervention, personalized support, and enhanced communication between children and their caregivers. The impact of this work may extend beyond individual assessments, potentially informing broader strategies in child development, art therapy, and educational practices.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"327 ","pages":"808-812"},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087235","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 Machine Learning Algorithms to Predict Medical Specialty Choice. 预测医学专业选择的机器学习算法评估。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250543

David Vicente Alvarez, Milena Abbiati, Alban Bornet, Georges Savoldelli, Nadia Bajwa, Douglas Teodoro

引用次数: 0

Exploring Telemedicine Acceptance: Applying the COM-B Model to Understand Cancer Patients' Perspectives. 探索远程医疗接受：应用COM-B模型来了解癌症患者的观点。

Studies in health technology and informatics Pub Date : 2025-05-15 DOI: 10.3233/SHTI250343

Anastasia Farmaki, Dimitris Kyrou, Petros Sountoulides, Stergiani Spyrou, Panos Bonotis, Christina Plomariti, Victoria Leclercq, Tugce Schmitt, Christina Karamanidou, Pantelis Natsiavas

{"title":"Exploring Telemedicine Acceptance: Applying the COM-B Model to Understand Cancer Patients' Perspectives.","authors":"Anastasia Farmaki, Dimitris Kyrou, Petros Sountoulides, Stergiani Spyrou, Panos Bonotis, Christina Plomariti, Victoria Leclercq, Tugce Schmitt, Christina Karamanidou, Pantelis Natsiavas","doi":"10.3233/SHTI250343","DOIUrl":"https://doi.org/10.3233/SHTI250343","url":null,"abstract":"The integration of telemedicine services into healthcare practices presents both opportunities and challenges, particularly in cancer care. The European eCAN Joint Action aims to provide a framework of recommendations for integrating telemedicine and remote monitoring into healthcare systems. Within the scope of the eCAN JA, a foresight exercise was conducted, which included the completion of a Rapid Literature Review to identify the key factors influencing cancer patients' adoption of telemedicine. The 34 identified key factors informed the design of a dedicated poll. In a different context, we were motivated to understand, from a psychological perspective, how these factors influence cancer patients' adoption of telemedicine and to categorize them. In this work, the 34 key factors were mapped using the COM-B model to gain a deeper understanding of the elements shaping cancer patients' views on adopting telemedicine services. The next step would involve designing targeted actions to enhance the adoption of telemedicine.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"327 ","pages":"353-357"},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087337","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