Large Language Models - AI Medical Compendium

Integrating large language models in mental health practice: a qualitative descriptive study based on expert interviews.

Frontiers in public health Nov 4, 2024

BACKGROUND: Progress in developing artificial intelligence (AI) products represented by large language models (LLMs) such as OpenAI's ChatGPT has sparked enthusiasm for their potential use in mental health practice. However, the perspectives on the i...

Research Personnel Large Language Models Humans Male Middle Aged Adult Health Services Accessibility Interviews as Topic Efficiency, Organizational Mental Health Health Personnel Female

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Evidence-Based Potential of Generative Artificial Intelligence Large Language Models on Dental Avulsion: ChatGPT Versus Gemini.

Dental traumatology : official publication of International Association for Dental Traumatology Nov 2, 2024

BACKGROUND: In this study, the accuracy and comprehensiveness of the answers given to questions about dental avulsion by two artificial intelligence-based language models, ChatGPT and Gemini, were comparatively evaluated.

Surveys and Questionnaires Generative Artificial Intelligence Large Language Models Tooth Avulsion Humans Artificial Intelligence

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Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models.

European radiology Oct 31, 2024

PURPOSE: Medical reports, governed by HIPAA regulations, contain personal health information (PHI), restricting secondary data use. Utilizing natural language processing (NLP) and large language models (LLM), we sought to employ publicly available me...

Radiology Information Systems Humans Natural Language Processing Electronic Health Records Data Anonymization Large Language Models

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Assessing the Responses of Large Language Models (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Retinopathy of Prematurity: A Study on Readability and Appropriateness.

Journal of pediatric ophthalmology and strabismus Oct 28, 2024

PURPOSE: To assess the appropriateness and readability of responses provided by four large language models (LLMs) (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to parents' queries pertaining to retinopathy of prematurity (ROP).

Large Language Models Male Female Comprehension Humans Surveys and Questionnaires Generative Artificial Intelligence Infant, Newborn Retinopathy of Prematurity Language Parents Reading

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Editorial Commentary: Studies Evaluating Artificial Intelligence Large Language Models' Ability to Respond to Questions Are Repetitive and Out-of-Date: Artificial Intelligence Must Now Be Applied to Improve Clinical Practice and Patient Care.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Oct 24, 2024

While artificial intelligence (AI) technologies such as ChatGPT have shown very real and powerful capabilities to date, this does not mean that research studying these technologies is immune from "shiny object syndrome," a psychological phenomenon in...

Language Humans Patient Care Artificial Intelligence Large Language Models

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Large language models for structured reporting in radiology: past, present, and future.

European radiology Oct 23, 2024

Structured reporting (SR) has long been a goal in radiology to standardize and improve the quality of radiology reports. Despite evidence that SR reduces errors, enhances comprehensiveness, and increases adherence to guidelines, its widespread adopti...

Radiology Humans Documentation Large Language Models Language Radiology Information Systems

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Editorial Commentary: Biomedical Research Investigating Artificial Intelligence Large Language Models Needs to Move Beyond Measuring Accuracy and Focus on Improving Patient Care.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Oct 18, 2024

Orthopaedic surgeons are fascinated with artificial intelligence (AI). Since the release of ChatGPT to the general public on November 30, 2022, there have been a flurry of articles regarding use of large language models (LLMs) in our field. Most of t...

Biomedical Research Patient Care Large Language Models Humans Artificial Intelligence

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Comparative Analysis of the Response Accuracies of Large Language Models in the Korean National Dental Hygienist Examination Across Korean and English Questions.

International journal of dental hygiene Oct 16, 2024

INTRODUCTION: Large language models such as Gemini, GPT-3.5, and GPT-4 have demonstrated significant potential in the medical field. Their performance in medical licensing examinations globally has highlighted their capabilities in understanding and ...

Educational Measurement Large Language Models Dental Hygienists Language Republic of Korea Humans

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Large Language Models can Help with Biostatistics and Coding Needed in Radiology Research.

Academic radiology Oct 15, 2024

INTRODUCTION: Original research in radiology often involves handling large datasets, data manipulation, statistical tests, and coding. Recent studies show that large language models (LLMs) can solve bioinformatics tasks, suggesting their potential in...

Deep Learning Radiology Humans Biomedical Research Large Language Models Biostatistics Programming Languages Clinical Coding

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Editorial Commentary: Off-the-Shelf Large Language Models Are of Insufficient Quality to Provide Medical Treatment Recommendations, While Customization of Large Language Models Results in Quality Recommendations.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Oct 3, 2024

The content accuracy of off-the-shelf large language models (LLMs) mirrors the content accuracy of the unregulated Internet from which these generative artificial intelligence models are supplied. With error rates approximating 30% in terms of treatm...

Humans Artificial Intelligence Large Language Models

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AIMC Topic: Large Language Models

Integrating large language models in mental health practice: a qualitative descriptive study based on expert interviews.

Evidence-Based Potential of Generative Artificial Intelligence Large Language Models on Dental Avulsion: ChatGPT Versus Gemini.

Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models.

Assessing the Responses of Large Language Models (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Retinopathy of Prematurity: A Study on Readability and Appropriateness.

Editorial Commentary: Studies Evaluating Artificial Intelligence Large Language Models' Ability to Respond to Questions Are Repetitive and Out-of-Date: Artificial Intelligence Must Now Be Applied to Improve Clinical Practice and Patient Care.

Large language models for structured reporting in radiology: past, present, and future.

Editorial Commentary: Biomedical Research Investigating Artificial Intelligence Large Language Models Needs to Move Beyond Measuring Accuracy and Focus on Improving Patient Care.

Comparative Analysis of the Response Accuracies of Large Language Models in the Korean National Dental Hygienist Examination Across Korean and English Questions.

Large Language Models can Help with Biostatistics and Coding Needed in Radiology Research.

Editorial Commentary: Off-the-Shelf Large Language Models Are of Insufficient Quality to Provide Medical Treatment Recommendations, While Customization of Large Language Models Results in Quality Recommendations.

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