Artificial Intelligence Medical Compendium

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

Showing 13,091 to 13,100 of 210,785 articles

Exploring the Role of Robotics in Nursing Homes: Insights from Healthcare Professionals.

Studies in health technology and informatics
This paper reports findings from a qualitative descriptive study exploring the potential use of service robots in nursing homes. Participants in three workshops expressed optimism and creativity regarding the role of robots in supporting a variety of... read more 

Measuring the Acceptance of Humanoid Robots in Adult Day Care Facilities.

Studies in health technology and informatics
INTRODUCTION: Socially assistive humanoid robots have emerged as promising tools for enhancing mood, engagement, and social connection in clinical and adult day care environments. This study investigated the acceptance and emotional impact of a human... read more 

Context-Free Grammar-Guided Generation of FHIR Resources Using Large Language Models.

Studies in health technology and informatics
Large Language Models (LLMs) have shown remarkable capabilities in medical information extraction and data transformation tasks. However, their unstructured outputs pose significant challenges for integration into clinical data pipelines. Fast Health... read more 

Challenges of Ontology-Based Concept Normalization for Deep Phenotyping in Rare Skin Diseases.

Studies in health technology and informatics
Extracting and standardizing phenotypic information from free-text medical reports remains a main challenge in biomedical natural language processing (NLP). Conceptual normalization, which maps textual mentions to standardized vocabularies such as th... read more 

Towards Real-Time Decision Support with LIVIA: Live-Streaming Infrastructure for Vital Sign Inference and Analytics.

Studies in health technology and informatics
The translation of machine learning (ML) research into clinical practice is slowed by fragmented infrastructure and lack of standardized pipelines. LIVIA provides a platform for real-time ML in intensive care, integrating high-frequency physiological... read more 

The role of AI-mediated metacognitive interventions in EFL writing development: A cross-sectional study of textual accuracy, lexical sophistication, and cohesion.

Acta psychologica
This paper examines the role of generative AI support in enhancing the quality of English-as-a-foreign-language (EFL) writing in Chinese higher education by enhancing the metacognitive control of the learners in real coursework. Based on self-regulat... read more 

Improved Prediction of Invasive Bacterial Infections in Febrile Infants Using Machine Learning.

Hospital pediatrics
BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, and laboratory test results to assess the risk of invasive bacterial infections (IBIs) with variable performance. This study aimed to (1) develop and ... read more 

A Simplified, Tier-Based Method for Clinical Evaluation of Diastolic Function.

European heart journal. Cardiovascular Imaging
Assessment of left ventricular diastolic function is inherently complex, yet it must be sufficiently simplified for consistent application in clinical practice. Interpretation is challenged by overlapping terminology, load dependence of hemodynamic v... read more 

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

Journal of primary health care
INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on secondary data use and the application of AI in clinical settings. AIM: The aim of this study was to explo... read more 

Deep learning-driven performance prediction and design of high-DoF MEMS resonators.

Microsystems & nanoengineering
The design of microelectromechanical systems (MEMS) resonators has long been hindered by high computational costs and restricted structural degrees of freedom. This study introduces a structural design framework based on a residual network-enabled so... read more