AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 1 to 10 of 1224 articles

Achieving SDoH Resource Equity in PICU Using an AI-Enabled Patient Navigator.

Studies in health technology and informatics
Trauma care coordination in the pediatric intensive care unit (PICU), including personalization of resources based on social determinants of health (SDoH), is challenging for already strained healthcare providers. Patient SDoH data collection is inco...

Adopting Ontologies: Sustainable Research Reusing the Biomedical Resource Ontology.

Studies in health technology and informatics
The FAIR principles have been adopted across scientific disciplines to promote sustainable use of data. Ontologies play a crucial role in facilitating data interoperability and reusability. However, existing ontologies may become outdated or redundan...

Extracting Pediatric Information from Summaries of Product Characterics with a Large Language Model and No-Code.

Studies in health technology and informatics
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirO...

Towards Skin Cancer Detection Through Low Resolution Images.

Studies in health technology and informatics
Currently, dermatologists need to check numerous image reports (high resolution) for diagnosing skin conditions, and Machine Learning (ML) models can help with this tedious task. However, current ML models usually work best with high-quality images i...

Explainable Versus Interpretable AI in Healthcare: How to Achieve Understanding.

Studies in health technology and informatics
The increasing adoption of deep learning methods has intensified the demand for explanations regarding how AI systems generate their results. This necessity originated primarily in the domain of image processing and has expanded to encompass the comp...

Artificial Intelligence in Narrative Feedback Analysis for Competency-Based Medical Education: A Review.

Studies in health technology and informatics
Competency-Based Medical Education (CBME) generates large volumes of qualitative data in the form of narrative feedback. Traditional qualitative analysis methods face limitations in managing this data's scale and complexity. This review explores the ...

Assessment of Elapsed Time Between Dental Radiographs Using Siamese Network.

Studies in health technology and informatics
Recently, machine learning methods have emerged to predict dental disease progression, often relying on costly annotated datasets and frequently exhibiting low generalization performance. This study evaluates the application of Siamese networks for d...

Machine Learning and Urinary Incontinence in Prostate Cancer: A Generalized Additive Model of Physical Activity and Recovery Patterns.

Studies in health technology and informatics
The ASCAPE project aims to improve the health-related quality of life of prostate cancer patients using artificial intelligence-driven solutions. This study tries to unravel the complex relationships between patient data variables and urinary inconti...

Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised Learning.

Studies in health technology and informatics
In this study, we attempted to identify the subtypes of autism spectrum disorder (ASD) with the help of anatomical alterations found in structural magnetic resonance imaging (sMRI) data of the ASD brain and machine learning tools. Initially, the sMRI...

A Knowledge Graph for the Exploration of Human RSV Infection.

Studies in health technology and informatics
Despite decades of research and disease burden, RSV remains the most common cause of acute lower respiratory tract infection (ALRTI) in infants <2 years of age. New vaccines and an improved long lasting monoclonal antibody have been approved to prote...