Latest AI and machine learning research in information technology for healthcare professionals.
AI-powered LizAI XT ensures real-time and accurate mega-structure of different clinical datasets a...
Multimorbidity is increasingly prevalent as the population ages and individuals with multiple long-t...
This work aims to identify the Key Research Areas for building and deploying the semantic interopera...
This study analyzes 159 master's theses in Medical Informatics from the University of Porto, spannin...
The European Rolling Plan for ICT Standardization outlines activities that connect EU policies to st...
Mechanical ventilation is crucial for critically ill patients in ICUs, requiring accurate weaning an...
Standardizing medical terminology is critical for healthcare informatics, particularly for improving...
Accurately documenting smoking status is essential for clinical decision-making and patient care. Ho...
The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, par...
The FAIR principles have been adopted across scientific disciplines to promote sustainable use of da...
User and Entity Behaviour Analytics (UEBA) is a broad branch of data analytics that attempts to bu...
Research projects, including those focused on cancer, rely on the manual extraction of information...
The integration of large language models (LLMs) into health care offers tremendous opportunities to...
BACKGROUND: To improve healthcare quality and empower patients, federal legislation requires nationw...
Artificial intelligence (AI) has shown effectiveness in various industries, particularly within heal...
BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of not...
Medical research, particularly in predicting patient outcomes, heavily relies on medical time seri...
The increasing volume of healthcare textual data requires computationally efficient, yet highly ac...
Predicting treatment response is an important problem in real-world applications, where the heteroge...
The adoption of standardized imaging protocols in retinal imaging is critical to overcoming challeng...
Irregular temporal data, characterized by varying recording frequencies, differing observation dur...