AIMC Journal:
Studies in health technology and informatics

Showing 261 to 270 of 1224 articles

Secure Extraction of Personal Information from EHR by Federated Machine Learning.

Studies in health technology and informatics Aug 22, 2024
Secure extraction of Personally Identifiable Information (PII) from Electronic Health Records (EHRs) presents significant privacy and security challenges. This study explores the application of Federated Learning (FL) to overcome these challenges wit...
Humans Machine Learning Electronic Health Records Confidentiality Health Records, Personal France Computer Security
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How Interoperability Can Enable Artificial Intelligence in Clinical Applications.

Studies in health technology and informatics Aug 22, 2024
This paper explores the critical role of Interoperability (IOP) in the integration of Artificial Intelligence (AI) for clinical applications. As AI gains prominence in medical analytics, its application in clinical practice faces challenges due to th...
Humans Artificial Intelligence Electronic Health Records Health Information Interoperability Systems Integration
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Enabling AI in Radiology: Evaluation of an AI Deployment Process.

Studies in health technology and informatics Aug 22, 2024
Artificial intelligence (AI) is expected to transform healthcare systems and make them more sustainable. Despite the increased availability of AI tools for disease detection, evidence of their impact on healthcare organisations and patient care remai...
Humans Artificial Intelligence Radiology Radiology Information Systems
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Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies.

Studies in health technology and informatics Aug 22, 2024
Developing novel predictive models with complex biomedical information is challenging due to various idiosyncrasies related to heterogeneity, standardization or sparseness of the data. We previously introduced a person-centric ontology to organize in...
Humans Neural Networks, Computer Patient Readmission
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User-Centered Development of Explanation User Interfaces for AI-Based CDSS: Lessons Learned from Early Phases.

Studies in health technology and informatics Aug 22, 2024
This paper reports lessons learned during the early phases of the user-centered design process for an explanation user interface for an AI-based clinical decision support system for the intensive care unit. This paper focuses on identifying and verif...
Humans Artificial Intelligence Intensive Care Units User-Computer Interface Decision Support Systems, Clinical User-Centered Design
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Demystifying XAI: Requirements for Understandable XAI Explanations.

Studies in health technology and informatics Aug 22, 2024
This paper establishes requirements for assessing the usability of Explainable Artificial Intelligence (XAI) methods, focusing on non-AI experts like healthcare professionals. Through a synthesis of literature and empirical findings, it emphasizes ac...
Humans Artificial Intelligence Comprehension
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Exploring the Intersection of AI and Inclusive Design for People with Disabilities.

Studies in health technology and informatics Aug 22, 2024
This scoping review examines current research on AI for inclusive design for people with disabilities. We identified both advantages and challenges of AI-based solutions and suggested future research directions. Our search of four online databases fo...
Humans Artificial Intelligence Persons with Disabilities User-Centered Design
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Pitfalls of Artificial Intelligence in Medicine.

Studies in health technology and informatics Aug 22, 2024
Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with challenges. Over-reliance on AI systems can lead to automation bias, necessitating human oversight. Ethical considerations, transparency, and collaboratio...
Humans Artificial Intelligence Delivery of Health Care
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Proposing an AI Passport as a Mitigating Action of Risk Associated to Artificial Intelligence in Healthcare.

Studies in health technology and informatics Aug 22, 2024
The integration of Artificial Intelligence (AI) in healthcare signifies a substantial shift, offering benefits to patients and healthcare systems while also introducing new risks. The emphasis on patient safety and performance standards is pivotal, e...
Humans Artificial Intelligence Patient Safety Risk Assessment Risk Management European Union
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Explainable Machine Learning Based Prediction of Severity of Heart Failure Using Primary Electronic Health Records.

Studies in health technology and informatics Aug 22, 2024
Heart Failure (HF) is a life-threatening condition. It affects more than 64 million people worldwide. Early diagnosis of HF is extremely crucial. In this study, we propose utilization of machine learning (ML) models to predict severity of HF from pri...
Humans Machine Learning Electronic Health Records Severity of Illness Index Diagnosis, Computer-Assisted Bayes Theorem Heart Failure
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