AIMC Topic: Language

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Impact of ChatGPT and Large Language Models on Radiology Education: Association of Academic Radiology-Radiology Research Alliance Task Force White Paper.

Academic radiology
Generative artificial intelligence, including large language models (LLMs), holds immense potential to enhance healthcare, medical education, and health research. Recognizing the transformative opportunities and potential risks afforded by LLMs, the ...

AI Driven Wearables and Large Language Models for Student Well-Being: A Preliminary Study.

Studies in health technology and informatics
This short communication presents preliminary findings on the integration of Large Language Models (LLMs) and wearable technology to generate personalized recommendations aimed at enhancing student well-being and academic performance. By analyzing di...

AI meets informed consent: a new era for clinical trial communication.

JNCI cancer spectrum
Clinical trials are fundamental to evidence-based medicine, providing patients with access to novel therapeutics and advancing scientific knowledge. However, patient comprehension of trial information remains a critical challenge, as registries like ...

From Manual to Machine: Revolutionizing Day Surgery Guideline and Consensus Quality Assessment With Large Language Models.

Journal of evidence-based medicine
OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expert consensus for ambulatory surgery centers published since 2000, combining manual assessment with large language model (LLM) analysis, while explorin...

[Evaluating the accuracy of large language models in answering mammography screening questions in Italian and English: a study based on the Eusobi guidelines.].

Recenti progressi in medicina
INTRODUCTION: Artificial intelligence (AI) is transforming various aspects of everyday life, including healthcare, through large language models (LLMs) like ChatGPT, Gemini, and Copilot. These systems are increasingly used to disseminate medical info...

Composition as Nonlinear Combination in Semantic Space: A Computational Characterization of Compound Processing.

Cognitive science
Most Chinese words are compounds formed through the combination of meaningful characters. Yet, due to compositional complexity, it is poorly understood how this combinatorial process affects the access to the whole-word meaning. In the present study,...

Application of large language models in clinical record correction: a comprehensive study on various retraining methods.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: We evaluate the effectiveness of large language models (LLMs), specifically GPT-based (GPT-3.5 and GPT-4) and Llama-2 models (13B and 7B architectures), in autonomously assessing clinical records (CRs) to enhance medical education and dia...

Implications of Large Language Models for Clinical Practice: Ethical Analysis Through the Principlism Framework.

Journal of evaluation in clinical practice
INTRODUCTION: The potential applications of large language models (LLMs)-a form of generative artificial intelligence (AI)-in medicine and health care are being increasingly explored by medical practitioners and health care researchers.

Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language processing (NLP).

Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review.

JAMA
IMPORTANCE: Large language models (LLMs) can assist in various health care activities, but current evaluation approaches may not adequately identify the most useful application areas.