AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 61 to 70 of 1224 articles

German Medical NER with BERT and LLMs: The Impact of Training Data Size.

Studies in health technology and informatics
Named Entity Recognition (NER) in the medical domain often presents significant challenges due to the complexity and specificity of medical terminology, especially in lower-resource settings where annotated data is scarce. This study explores the per...

Fake It till You Predict It: Data Augmentation Strategies to Detect Initiation and Termination of Oncology Treatment.

Studies in health technology and informatics
At the hospital, the dispersion of information regarding anti-cancer treatment makes it difficult to extract. We proposed a solution capable of identifying dates, drugs and their temporal relationship within free-text oncology reports with very few m...

Exploring Zero-Shot Cross-Lingual Biomedical Concept Normalization via Large Language Models.

Studies in health technology and informatics
Over the past few years, discriminative and generative large language models (LLMs) have emerged as the predominant approaches in natural language processing. However, despite significant advancements, there remains a gap in comparing the performance...

Chain of Thought Strategy for Smaller LLMs for Medical Reasoning.

Studies in health technology and informatics
This paper investigates the application of Chain of Thought (CoT) reasoning to enhance the performance of smaller language models in medical question-answering tasks. By leveraging CoT prompting strategies, we aim to improve model accuracy and interp...

Leveraging Large Language Models for Synthetic Data Generation to Enhance Adverse Drug Event Detection in Tweets.

Studies in health technology and informatics
Adverse drug event (ADE) detection in social media texts poses significant challenges due to the informal nature of the text and the limited availability of annotations. The scarcity of ADE named entity recognition (NER) datasets for social media hin...

Transforming Data from a Commercial Hospital Information System into FHIR.

Studies in health technology and informatics
The expanded use of hospital information systems in recent decades offers possibilities to use data collected in the clinical routine not only for individual patient care, but also for medical research. For this purpose, it is important use standardi...

Agent-Based Healthcare Chatbots for Regional System Services: A Case Study in the Friuli-Venezia Giulia Region.

Studies in health technology and informatics
This paper presents an agent-based model for interacting with regional healthcare system services in the Friuli-Venezia Giulia (FVG) region. The model is designed to streamline and automate tasks traditionally managed through human intervention. We s...

Using Machine Learning for the Fusion of Tumor Records on a Real-World Dataset.

Studies in health technology and informatics
Cancer registries collect multiple reports describing the same tumor, potentially leading to duplicate or conflicting values across different records. This complicates further use of cancer data. Data fusion addresses this issue by consolidating mult...

Patient Survival Prediction by Analyzing Pathological Images of Patients After Liver Transplantation.

Studies in health technology and informatics
Predicting whether a patient will develop cancer using nuclear features on pathological images is important for decision making regarding patient treatment after liver transplantation or hepatectomy. Unlike manual segmentation to extract nuclei parts...

Federated Learning for Predictive Analytics in Weaning from Mechanical Ventilation.

Studies in health technology and informatics
Mechanical ventilation is crucial for critically ill patients in ICUs, requiring accurate weaning and extubations timing for optimal outcomes. Current prediction models struggle with generalizability across datasets like MIMIC-IV and eICU-CRD. We pro...