AIMC Topic: Natural Language Processing

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Optimizing Automated KCD Coding: A Retrieval-Verification Approach.

Studies in health technology and informatics
This study proposes a two-step Retrieval-Verification system for automating the assignment of Korean Standard Classification of Diseases (KCD) codes to free-text diagnoses. The system uses SapBERT-XLMR for initial retrieval, followed by Llama 3.1 for...

Translating UMLS Concepts to Improve Medical Entity Linking in French: A SapBERT-Based Approach.

Studies in health technology and informatics
Medical Entity Linking (MEL) refers to the task of automatically detecting and codifying medical concepts, which is an important preprocessing step for exploiting unstructured medical reports. SapBERT is an efficient MEL method for the English langua...

Automating Performance Status Annotation in Oncology Using Llama-3.

Studies in health technology and informatics
This work explores the automated extraction of medical information from Dutch clinical notes using Llama-3 and a limited amount of annotations. We compared zero-, one- and few-shot learning for the extraction of performance status of patients with pa...

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...

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...

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...