AIMC Topic: Large Language Models
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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance.
JMIR medical education
Apr 10, 2025
BACKGROUND: Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs), have started a new era of innovation across various fields, with medicine at the forefront of this technological revolution. Many studies i...
Towards accurate differential diagnosis with large language models.
Nature
Apr 9, 2025
A comprehensive differential diagnosis is a cornerstone of medical care that is often reached through an iterative process of interpretation that combines clinical history, physical examination, investigations and procedures. Interactive interfaces p...
Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study.
JMIR medical informatics
Apr 9, 2025
BACKGROUND: Pulmonary embolism (PE) is a critical condition requiring rapid diagnosis to reduce mortality. Extracting PE diagnoses from radiology reports manually is time-consuming, highlighting the need for automated solutions. Advances in natural l...
A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models.
IEEE transactions on pattern analysis and machine intelligence
Apr 8, 2025
Recently, numerous benchmarks have been developed to evaluate the logical reasoning abilities of large language models (LLMs). However, assessing the equally important creative capabilities of LLMs is challenging due to the subjective, diverse, and d...
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.
IEEE transactions on pattern analysis and machine intelligence
Apr 8, 2025
Given radiology images, automatic radiology report generation aims to produce informative text that reports diseases. It can benefit current clinical practice in diagnostic radiology. Existing methods typically rely on large-scale medical datasets an...
Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level: an evaluation study.
PloS one
Apr 8, 2025
Given the scarcity of annotated data, current deep learning methods face challenges in the field of document-level chemical-disease relation extraction, making it difficult to achieve precise relation extraction capable of identifying relation types ...
Year 2023 in Biomedical Natural Language Processing: a Tribute to Large Language Models and Generative AI.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: This synopsis gives insights into scientific publications from 2023 in Natural Language Processing for the biomedical domain. We present the process we followed to identify candidates for NLP's best papers and the two best papers of this ...
Natural Language Processing for Digital Health in the Era of Large Language Models.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: Large language models (LLMs) are revolutionizing the natural language pro-cessing (NLP) landscape within healthcare, prompting the need to synthesize the latest ad-vancements and their diverse medical applications. We attempt to summarize...
Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: To select, present, and summarize cutting edge work in the field of Knowledge Representation and Management (KRM) published in 2022 and 2023.
A Narrative Review on the Application of Large Language Models to Support Cancer Care and Research.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: The emergence of large language models has resulted in a significant shift in informatics research and carries promise in clinical cancer care. Here we provide a narrative review of the recent use of large language models (LLMs) to suppor...
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