AIMC Topic: Language

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Evaluation of a retrieval-augmented generation system using a Japanese Institutional Nuclear Medicine Manual and large language model-automated scoring.

Radiological physics and technology
Recent advances in large language models (LLMs) enable domain-specific question answering using external knowledge. However, addressing information that is not included in training data remains a challenge, particularly in nuclear medicine, where exa...

Performance of ChatGPT on optometry and vision science exam questions.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
The rapid proliferation of Large Language Models (LLM) tools, such as ChatGPT developed by OpenAI, presents both a challenge and an opportunity for educators. While LLMs can generate convincing written responses across a wide range of academic fields...

Artificial Intelligence Language Models to Translate Professional Radiology Mammography Reports Into Plain Language - Impact on Interpretability and Perception by Patients.

Academic radiology
RATIONALE AND OBJECTIVES: This study aimed to evaluate the interpretability and patient perception of AI-translated mammography and sonography reports, focusing on comprehensibility, follow-up recommendations, and conveyed empathy using a survey.

Evaluating Large Language Models on American Board of Anesthesiology-style Anesthesiology Questions: Accuracy, Domain Consistency, and Clinical Implications.

Journal of cardiothoracic and vascular anesthesia
Recent advances in large language models (LLMs) have led to growing interest in their potential applications in medical education and clinical practice. This study evaluated whether five widely used and highly developed LLMs-ChatGPT-4, Gemini, Claude...

Leveraging Large Language Models to Enhance Patient Educational Resources in Rhinology.

The Annals of otology, rhinology, and laryngology
BACKGROUND: To compare the readability of patient education materials (PEMs) on rhinologic conditions and procedures from the American Rhinologic Society (ARS) with those generated by large language models (LLMs).

Comparison of a generative large language model to pharmacy student performance on therapeutics examinations.

Currents in pharmacy teaching & learning
OBJECTIVE: To compare the performance of a generative language model (ChatGPT-3.5) to pharmacy students on therapeutics examinations.

Assessing the quality of Japanese online breast cancer treatment information using large language models: a comparison of ChatGPT, Claude, and expert evaluations.

Breast cancer (Tokyo, Japan)
BACKGROUND: The internet is a primary source of health information for breast cancer patients, but online content quality varies widely. This study aimed to evaluate the capability of large language models (LLMs), including ChatGPT and Claude, to ass...

3DBench: A scalable benchmark for object and scene-level instruction-tuning of 3D large language models.

Neural networks : the official journal of the International Neural Network Society
Recent assessments of Multi-Modal Large Language Models (MLLMs) have been thorough. However, a detailed benchmark that integrates point cloud data with language for MLLMs remains absent, leading to superficial comparisons that obscure advancements in...

BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher.

Neural networks : the official journal of the International Neural Network Society
Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and their transformative momentum has surged into the domain of education, giving rise to a nascent wave of education-tailored LLMs. Despite their potentia...

Evaluating the reliability of the responses of large language models to keratoconus-related questions.

Clinical & experimental optometry
CLINICAL RELEVANCE: Artificial intelligence has undergone a rapid evolution and large language models (LLMs) have become promising tools for healthcare, with the ability of providing human-like responses to questions. The capabilities of these tools ...