AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 51 to 60 of 1224 articles

A Review of Challenges in Speech-Based Conversational AI for Elderly Care.

Studies in health technology and informatics
Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. Such models are interesting from a healthcare perspective, as these voice-controlled assistants may support the elderly and enable remote health monitori...

Efficient Semantic Similarity Computing with Optimized BERT Models.

Studies in health technology and informatics
Bridging diverse terminologies and ensuring precise information retrieval, semantic similarity in medical language is key to improve healthcare outcomes. Semantic similarity measures how closely pieces of text share the same meaning, a crucial elemen...

Applying AI to Support Categorization of Heterogeneous Epidemiological Datasets.

Studies in health technology and informatics
The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, particularly in the context of enhancing data reuse in research. The National Research Data Infrastructure for Personal Health Data (NFDI4Health) aims to...

ChatEndoscopist: A Domain-Specific Chatbot with Images for Gastrointestinal Diseases.

Studies in health technology and informatics
This study aims to enhance domain-specific medical knowledge within large language models (LLMs) by developing a chatbot, chatEndoscopist, a specialized model for oesophageal cancer. In particular, the chatbot incorporates related images to further e...

Few-Shot Learning of Medical Coding Systems: A Case Study on Death Certificates with BERT and Mistral.

Studies in health technology and informatics
Identifying the Underlying Cause of Death accurately is crucial for effective healthcare policy and planning. The World Health Organization recommends using the ICD-10 system to standardize death certificate coding, a task often supported by semi-aut...

AI-Powered Affiliation Insights: LLM-Based Bibliometric Study of European Medical Informatics Conferences.

Studies in health technology and informatics
This study employs Large Language Models (LLMs) to analyze bibliometric data from European Medical Informatics conferences from 1996 to 2024. By enhancing traditional methods with LLM-based techniques, the researchers significantly improved affiliati...

Smoking Status Normalization with Cross-Encoders and SNOMED CT.

Studies in health technology and informatics
Accurately documenting smoking status is essential for clinical decision-making and patient care. However, smoking status information is often only available in clinical narratives. Mapping smoking-related terms to standardized terminologies such as ...

Comparative Analysis of ChatGPT-4 for Automated Mapping of Local Medical Terminologies to SNOMED CT.

Studies in health technology and informatics
Standardizing medical terminology is critical for healthcare informatics, particularly for improving data interoperability and patient management systems. This study evaluated four distinct GPT-4-based approaches for mapping local medical terminologi...

ArtInsight: A Multimodal AI Framework for Interpreting Children's Drawings and Enhancing Emotional Understanding.

Studies in health technology and informatics
Recent advancements in multimodal image-to-text models have greatly enhanced the interpretation of children's drawings for emotional understanding purposes. This paper introduces a framework that analyzes these drawings to fully automatically generat...

Assessing the Potential of an LLM-Powered System for Enhancing FHIR Resource Validation.

Studies in health technology and informatics
Large Language Models (LLMs) have gained significant popularity among healthcare professionals as tools for AI-driven interactions. These models can analyze large volumes of clinical data, including patient narratives, to assist in efficient decision...