AIMC Topic: Natural Language Processing

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The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future.

Journal of magnetic resonance imaging : JMRI
This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and Gemini, into breast imaging. LLMs excel in understanding, processing, and generating human-like text, with potential applications ranging widely from ...

An Evaluation of Current Trends in AI-Generated Text in Otolaryngology Publications.

The Laryngoscope
OBJECTIVES: Since the release of ChatGPT-4 in March 2023, large language models (LLMs) application in biomedical manuscript production has been widespread. GPT-modified text detectors, such as GPTzero, lack sensitivity and reliability and do not quan...

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery From Large-Scale Human-LLM Conversational Datasets.

IEEE transactions on visualization and computer graphics
Large Language Models (LLMs) have gained significant attention but also raised concerns due to the risk of misuse. Jailbreak prompts, a popular type of adversarial attack towards LLMs, have appeared and constantly evolved to breach the safety protoco...

PromptAid: Visual Prompt Exploration, Perturbation, Testing and Iteration for Large Language Models.

IEEE transactions on visualization and computer graphics
Large language models (LLMs) have gained widespread popularity due to their ability to perform ad-hoc natural language processing (NLP) tasks with simple natural language prompts. Part of the appeal for LLMs is their approachability to the general pu...

GeMTeX's De-Identification in Action: Lessons Learned & Devil's Details.

Studies in health technology and informatics
INTRODUCTION: In 2024, the GeMTeX project launched the largest ever de-identification campaign for German-language clinical reports, and, as a pilot study, published GraSCCoPHI, the first de-identified German-language gold standard corpus of syntheti...

Medical Entity Linking in Low-Resource Settings with Fine-Tuning-Free LLMs.

Studies in health technology and informatics
INTRODUCTION: Medical entity linking is an important task in biomedical natural language processing, aiming to align textual mentions of medical concepts with standardized concepts in ontologies. Most existing approaches rely on supervised models or ...

Retrieval-Augmented Generation for ICD-10 Coding in German Clinical Texts - A Technical Case Report.

Studies in health technology and informatics
INTRODUCTION: Manual ICD-10 coding of German clinical texts is time-consuming and error-prone. This project aims to develop a semi-automated pipeline for efficient coding of unstructured medical documentation.

Evaluation of Chunking and Embedding Strategies for Local Document Retrieval Using an Open-Source LLM in a Hospital.

Studies in health technology and informatics
INTRODUCTION: The integration of Retrieval-Augmented Generation (RAG) into domain-specific systems enables context-aware and traceable information retrieval. This study explores chunking and embedding strategies for a RAG-based question-answering sys...

Quality of Machine Translations in Medical Texts: An Analysis Based on Standardised Evaluation Metrics.

Studies in health technology and informatics
INTRODUCTION: The medical care of patients with rare diseases is a cross-border concern across the EU. This is also reflected in the usage statistics of the SE-ATLAS, where most access occurs via browser languages set to German, English, French, or P...