AIMC Topic: Large Language Models

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Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis.

Journal of medical Internet research
BACKGROUND: Thrombolysis and mechanical thrombectomy represent the most successful stroke innovations over the last 30 years. Quantifying innovation in stroke is essential for identifying productive research lines and prioritizing funding, but health...

Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study.

JMIR formative research
BACKGROUND: The popularity of large language models (LLMs) has grown exponentially across health care. Despite the wealth of literature on proposed applications in medical education, there remains a critical gap regarding their real-world use, benefi...

Reference Accuracy in Large Language Model Chatbots: A Metric for Inherent Misinformation?

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND We suggest that testing a large language model (LLM) chatbot in terms of the accuracy of the references it provides could be a powerful, quantifiable means of rating its inherent degree of misinformation, since the accuracy of the bibliogr...

Prompting and Fine-Tuning Large Language Models for Parkinson Disease Diagnosis: Comparative Evaluation Study Using the PPMI Structured Dataset.

JMIR medical informatics
BACKGROUND: Parkinson disease (PD) presents diagnostic challenges due to its heterogeneous motor and nonmotor manifestations. Traditional machine learning (ML) approaches have been evaluated on structured clinical variables. However, the diagnostic u...

Leading large language models on a periodontology knowledge test.

Swiss dental journal
Large language models (LLMs) are increasingly used in clinical and educational settings. However, there is a paucity of data on LLMs' performance in specialized dental domains. This study assessed the performance of four LLMs, including two general-p...

Evaluating the Efficacy of AI-Based Interactive Assessments Using Large Language Models for Depression Screening: Development and Usability Study.

JMIR formative research
BACKGROUND: The evolution of language models, particularly large language models, has introduced transformative potential for psychological assessment, challenging traditional rating scale methods that have dominated clinical practice for over a cent...

Large Language Models for Psychiatric Diagnosis Based on Multicenter Real-World Clinical Records: Comparative Study.

JMIR medical informatics
BACKGROUND: Psychiatric disorders are diagnostically challenging and often rely on subjective clinical judgment, particularly in resource-limited settings. Large language models (LLMs) have demonstrated potential in supporting psychiatric diagnosis; ...

Evaluating Spanish Translations of Emergency Department Discharge Instructions by a Large Language Model: Tool Validation and Reliability Study.

JMIR formative research
When given a sample of 100 emergency department discharge instructions, Claude Sonnet, a large language model, produced accurate Spanish translations as evaluated by Spanish-speaking physicians and medical interpreters.

Leveraging AI Large Language Models for Writing Clinical Trial Proposals in Dermatology: Instrument Validation Study.

JMIR dermatology
BACKGROUND: Large language models (LLMs) are becoming increasingly popular in clinical trial design but have been underused in research proposal development.

Large Language Model-Enabled Editing of Patient Audio Interviews From "This Is My Story" Conversations: Comparative Study.

JMIR medical informatics
BACKGROUND: This Is My Story (TIMS) was started by Chaplain Elizabeth Tracey to promote a humanistic approach to medicine. Patients in the TIMS program are the subject of a guided conversation in which a chaplain interviews either the patient or thei...