Studies in health technology and informatics最新文献_第2页

The Illusion of Control: AI Chatbot Dependency and the Threat to Clinical Autonomy. 控制的幻觉：人工智能聊天机器人的依赖和对临床自主性的威胁。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251529

Roa'a Aljuraid

引用次数: 0

Feasibility of Fuzzy Control Aggregation in Clinical Decision Support Using HL7 Arden Syntax. 基于HL7 Arden语法的模糊控制聚合在临床决策支持中的可行性。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251491

Moritz Grob, Julia Liepold, Leonhard Hauptfeld, Vladik Kreinovich, Robert A Jenders, Klaus-Peter Adlassnig

引用次数: 0

Virtual Resilience, Real Consensus: Methodological Framework for a VR-Based Resilience Intervention Using a Modified Delphi Approach. 虚拟弹性，真实共识：使用改进的德尔菲方法进行基于虚拟现实的弹性干预的方法框架。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251539

Martin Ernst, Yvonne Prinzellner, Nina Dalkner, Sebastian Egger-Lampl, Eva Turk

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Development of a Machine Learning Model for Screening Sleep Apnea in Heart Failure Patients Using Sleep Sensor Data. 利用睡眠传感器数据筛选心力衰竭患者睡眠呼吸暂停的机器学习模型的开发。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251496

Mathushan Gunasegarama, Birthe Dinesen, Nikolaj Müller Larsen, Ghazal Ghamari Gilavai, Kristine Røge, Mathias Kirk Østergaard, Mads Rovsing Jochumsen

{"title":"Development of a Machine Learning Model for Screening Sleep Apnea in Heart Failure Patients Using Sleep Sensor Data.","authors":"Mathushan Gunasegarama, Birthe Dinesen, Nikolaj Müller Larsen, Ghazal Ghamari Gilavai, Kristine Røge, Mathias Kirk Østergaard, Mads Rovsing Jochumsen","doi":"10.3233/SHTI251496","DOIUrl":"https://doi.org/10.3233/SHTI251496","url":null,"abstract":"Sleep apnea (SA) is a prevalent disorder among individuals with heart failure (HF), often leading to complications. Early identification is essential for timely interventions and better outcomes. This study explores the feasibility of developing a screening tool for SA in patients with HF using data from the Future Patient Telerehabilitation program. A random forest classifier was used to develop a predictive model, achieving a promising receiver operating characteristic area under the curve (ROC-AUC) of 0.85, suggesting that the random forest classifier has the potential as a SA screening tool for HF patients. However, the study lacked key variables, such as oxygen saturation, that are strong predictors for SA assessment according to current literature; this limits the model's generalizability. Despite this, the findings indicate that the ML model shows promise for screening SA in HF patients, highlighting the need for high-quality, standardized data from future clinical trials to enhance its accuracy and clinical utility.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"62-66"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215100","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

Validation and Evaluation as Essentials to Ensuring Safe AI Health Applications. 验证和评估是确保安全的人工智能健康应用的关键。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251494

Michael Rigby, Elisavet Andrikopoulou, Mirela Prgomet, Stephanie Medlock, Zoie Sy Wong, Kathrin Cresswell

{"title":"Validation and Evaluation as Essentials to Ensuring Safe AI Health Applications.","authors":"Michael Rigby, Elisavet Andrikopoulou, Mirela Prgomet, Stephanie Medlock, Zoie Sy Wong, Kathrin Cresswell","doi":"10.3233/SHTI251494","DOIUrl":"https://doi.org/10.3233/SHTI251494","url":null,"abstract":"Artificial Intelligence (AI) is a rapidly growing technology within health informatics, but it is not subject to the rigor of scientific and safety validation required for all other new health techniques. Moreover, some functions of health AI cannot only introduce biases but can then reinforce and spread them by building on them. Thus, while health AI may bring benefit, it can also pose risks for safety and efficiency, as end users cannot rely on rigorous pre-implementation evidence or in-use validation. This review aims to revisit the principles and techniques already developed in health informatics, to build scientific principles for AI evaluation and the production of evidence. The Precautionary Principle provides further justification for such processes, and continuous quality improvement methods can add assurance. Developers should be expected to provide a robust evidence and evaluation trail, and clinicians and patient groups should expect this to be required by policy makers. This needs to be balanced with a need for developing pragmatic and agile evaluation methods in this fast-evolving area, to deepen knowledge and to guard against the risk of hidden perpetuation of errors.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"52-56"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215108","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

Future Domain Experts - Integrating AI Education into Existing Master Programs for Health Professions. 未来领域专家——将人工智能教育整合到现有的卫生专业硕士课程中。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251549

Madeleine Blusi, Ingeborg Nilsson, Caroline Fischl, Helena Lindgren

{"title":"Future Domain Experts - Integrating AI Education into Existing Master Programs for Health Professions.","authors":"Madeleine Blusi, Ingeborg Nilsson, Caroline Fischl, Helena Lindgren","doi":"10.3233/SHTI251549","DOIUrl":"https://doi.org/10.3233/SHTI251549","url":null,"abstract":"Medical and health disciplines are facing a change of their clinical practices with the integration of new transformative technologies including artificial intelligence (AI). There is an interest to elevate knowledge and skills in designing and developing adaptive technology for clients, patients and practices. In this study the possibility to integrate education on human-centered AI in the education on advanced level of nurses, physiotherapists and occupational therapists was explored. A blueprint of a 3-course AI education on human-centered AI for health and wellbeing was developed and evaluated at two universities. The course contents range from theory to practical exercises with application to clinical practice on AI, responsible AI design and AI technology, with a structured progression between each level. The evaluation showed that the proposed courses could be integrated into the existing master programs to different extent, from full integration in 120-credit programs to limited integration in 60-credit programs. It was concluded that the proposed education is feasible and desirable to integrate, and future work will continue the development.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"299-303"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215110","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

Towards an Analytical System for Supervising Fairness, Robustness, and Dataset Shifts in Health AI. 健康人工智能中监督公平性、鲁棒性和数据集转换的分析系统。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251537

Ángel Sánchez-García, David Fernández-Narro, Pablo Ferri, Juan M García-Gómez, Carlos Sáez

{"title":"Towards an Analytical System for Supervising Fairness, Robustness, and Dataset Shifts in Health AI.","authors":"Ángel Sánchez-García, David Fernández-Narro, Pablo Ferri, Juan M García-Gómez, Carlos Sáez","doi":"10.3233/SHTI251537","DOIUrl":"https://doi.org/10.3233/SHTI251537","url":null,"abstract":"Ensuring trustworthy use of Artificial Intelligence (AI)-based Clinical Decision Support Systems (CDSSs) requires continuous evaluation of their performance and fairness, given the potential impact on patient safety and individual rights as high-risk AI systems. However, the practical implementation of health AI performance and fairness monitoring dashboards presents several challenges. Confusion-matrix-derived performance and fairness metrics are non-additive and cannot be reliably aggregated or disaggregated across time or population subgroups. Furthermore, acquiring ground-truth labels or sensitive variable information, and controlling dataset shifts-changes in data statistical distributions-may require additional interoperability with the electronic health records. We present the design of ShinAI-Agent, a modular system that enables continuous, interpretable, and privacy-aware monitoring of health AI and CDSS performance and fairness. An exploratory dashboard combines time series navigation for multiple performance and fairness metrics, model calibration and decision cutoff exploration, and dataset shift monitoring. The system adopts a two-layer database. First, a proxy database, mapping AI outcomes and essential case-level data such as the ground-truth and sensitive variables. And second, an OLAP architecture with aggregable primitives, including case-based confusion matrices and binned probability distributions for flexible computation of performance and fairness metrics across time or sensitive subgroups. The ShinAI-Agent approach supports compliance with the ethical and robustness requirements of the EU AI Act, enables advisory for model retraining and promotes the operationalisation of Trustworthy AI.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"247-251"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215126","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

Input System for a GPT Model Simulating Doctor-Patient Interactions During Medical Consultation. 模拟医疗咨询过程中医患互动的GPT模型输入系统。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251562

Jonathan Kambire, Seydou Golo Barro, Pascal Staccini

{"title":"Input System for a GPT Model Simulating Doctor-Patient Interactions During Medical Consultation.","authors":"Jonathan Kambire, Seydou Golo Barro, Pascal Staccini","doi":"10.3233/SHTI251562","DOIUrl":"https://doi.org/10.3233/SHTI251562","url":null,"abstract":"The introduction of the Licence-Master-Doctorate (LMD) system in African higher education has significantly reshaped university organization, particularly in health-related fields, by exacerbating structural challenges such as the shortage of faculty and inadequate infrastructure. In this context, the present work aims to construct a structured dialogical corpus designed for the training of a customized GPT-2 model, with the goal of simulating medical consultations and supporting the training of medical students. The methodology combines the use of reliable medical sources, the controlled generation of dialogues using existing artificial intelligence systems, and role-playing exercises involving medical students, with detailed annotation of clinical, emotional, and behavioral metadata. The final corpus comprises over 36 million tokens for pre-training and more than 8,326 simulated dialogues for fine-tuning, covering the most prevalent pathologies in Burkina Faso. This multilingual and culturally contextualized approach represents a significant departure from dominant Western corpora, laying the groundwork for a medical conversational model adapted to African realities. While the model is still in training, the complete results will be presented at a later stage. Nevertheless, the collected data already constitute a valuable resource for the development of realistic, diverse, and reusable educational simulators across various medical training contexts.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"360-364"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215157","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

V-IDENT: Enhancing Patient Safety Through PPG-Based User Identification. V-IDENT：通过基于ppg的用户识别增强患者安全。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251521

Katja Bochtler, Jonas Schropp, Michael Weber

引用次数: 0

Exploring the Relevance of Patient Selection Criteria for Hospital at Home Care: Results from an Expert Survey. 探索病人选择标准与家庭医院护理的相关性：专家调查的结果。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251502

Kerstin Denecke, Octavio Rivera-Romero

引用次数: 0