Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 13,041 to 13,050 of 210,785 articles

Recovering Sensitive Medical Text in Federated Learning.

Studies in health technology and informatics
Federated Learning (FL) allows institutions to train shared models without exchanging raw data, making it a promising approach for healthcare applications that involve sensitive electronic health records (EHRs). However, despite this distributed desi... read more 

The Somnolink-Hub: A Central Infrastructure That Unites Sleep Data at Point of Care.

Studies in health technology and informatics
Obstructive sleep apnea (OSA) is a sleeping disorder which can lead to severe health consequences. Information gaps in the patient's diagnostic path may result in duplicate examinations, while patients wait long for sleep diagnostics. We propose an a... read more 

Federated Deception Intelligence and the ASKOS Solution for Cyber-Resilient Healthcare Infrastructures.

Studies in health technology and informatics
Healthcare infrastructures face escalating cybersecurity risks caused by legacy systems, connected IoMT devices, and complex data-sharing environments. Conventional intrusion detection and SIEM systems provide limited protection against zero-day and ... read more 

Time to Care-AI Supported Nursing Documentation.

Studies in health technology and informatics
This study conducted a needs assessment to evaluate contextual factors, adoption barriers, and overall readiness of municipal healthcare services to implement and utilize AI-supported documentation solutions. The study was carried out by a multidisci... read more 

Navigating the "Valley of Death": An Open-Source, Modular Framework for Generative AI in Healthcare.

Studies in health technology and informatics
Generative AI (GenAI) adoption remains limited, particularly in under-resourced settings, despite its many applications. This disparity arises from fragmented integration, privacy concerns, and the translational gap (often called the "Valley of Death... read more 

On the Ethical Aspect of Artificial Intelligence-Based Decision Process for Transplantation.

Studies in health technology and informatics
Liver transplantation is a complex process including organ donors, recipients, as well key stakeholders. We propose a new data workflow able to capture, merge and monitor information regarding several aspects of the transplantation process towards be... read more 

Integration and Harmonization of Multi-Source Obstetric Data Using Rule-Based NLP for Fetomaternal Risk Modelling.

Studies in health technology and informatics
More than 80% of pregnancies in Germany are classified as high risk, leading to inefficient resource allocation. Although data-driven approaches could improve fetomaternal risk prediction, limited standardization across clinical databases remains a m... read more 

Bridging Routine Data and Clinical Research: A Structured Approach to Data Preprocessing.

Studies in health technology and informatics
The secondary use of routine clinical data remains challenging due to heterogeneity and irregularity. We present a structured three-step preprocessing framework to transform routine healthcare data into research-compatible datasets. The approach comp... read more 

Enabling Privacy-Preserving Federated Learning in Healthcare: The FLAME Architecture and Policy Framework.

Studies in health technology and informatics
Federated Learning enables collaborative AI development in healthcare without sharing patient data, addressing privacy and regulatory constraints like GDPR and HIPAA. We present FLAME, an open-source platform developed within the German PrivateAIM pr... read more 

Exploring Documentation Burden and the Use of Artificial Intelligence Among Swiss Rehabilitation Professionals.

Studies in health technology and informatics
This cross-sectional online survey presents preliminary results examining Swiss occupational and physical therapists' (OTs/PTs) documentation burden and attitudes toward artificial intelligence (AI) support. Among 292 respondents (219 PTs, 73 OTs; me... read more