AIMC Topic: Large Language Models

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Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study.

Journal of medical Internet research
BACKGROUND: Domestic violence (DV) is a significant public health concern affecting the physical and mental well-being of numerous women, imposing a substantial health care burden. However, women facing DV often encounter barriers to seeking in-perso...

The Advanced Reasoning Capabilities of Large Language Models for Detecting Contraindicated Options in Medical Exams.

JMIR medical informatics
Enhancing clinical reasoning and reducing diagnostic errors are essential in medical practice; OpenAI-o1, with advanced reasoning capabilities, performed better than GPT-4 on 15 Japanese National Medical Licensing Examination questions (accuracy: 100...

Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study.

Journal of medical Internet research
BACKGROUND: Synthetic electronic health records (EHRs) generated by large language models (LLMs) offer potential for clinical education and model training while addressing privacy concerns. However, performance variations and demographic biases in th...

Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis.

Journal of biomedical science
BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), a Large Language Model (LLM), in healthcare promises to reshape patient care, clinical decision-making, and medical education. ...

Leveraging large language models to compare perspectives on integrating QSP and AI/ML.

Journal of pharmacokinetics and pharmacodynamics
Two recent papers offer contrasting perspectives on integrating Quantitative Systems Pharmacology (QSP) and Artificial Intelligence/Machine Learning (AI/ML): one views QSP as the primary driver using AI/ML to enhance computational tasks, while the ot...

The influence of prompt engineering on large language models for protein-protein interaction identification in biomedical literature.

Scientific reports
Identifying protein-protein interactions (PPIs) is a foundational task in biomedical natural language processing. While specialized models have been developed, the potential of general-domain large language models (LLMs) in PPI extraction, particular...

Cross language transformation of free text into structured lobectomy surgical records from a multi center study.

Scientific reports
In a recent study, the effectiveness of GPT-4 Omni in transforming lobectomy surgical records into structured data across multiple languages was explored. The aim was to improve both efficiency and accuracy in documenting thoracic surgical oncology p...

GP or ChatGPT? Ability of large language models (LLMs) to support general practitioners when prescribing antibiotics.

The Journal of antimicrobial chemotherapy
INTRODUCTION: Large language models (LLMs) are becoming ubiquitous and widely implemented. LLMs could also be used for diagnosis and treatment. National antibiotic prescribing guidelines are customized and informed by local laboratory data on antimic...

Rising Influence of Artificial Intelligence: Trends in Large Language Model Usage in Dermatology Residency Personal Statements.

Journal of drugs in dermatology : JDD
With the public release of ChatGPT before the 2024 dermatology residency application cycle, applicants gained access to an advanced language model capable of generating or enhancing personal statements. This study examines trends in artificial intell...

Exploratory Analysis of Nationwide Japanese Patient Safety Reports on Suicide and Suicide Attempts Among Inpatients With Cancer Using Large Language Models.

Psycho-oncology
OBJECTIVE: Patients with cancer have a high risk of suicide. However, evidence-based preventive measures remain unclear. This study aimed to investigate suicide prevention strategies for hospitalized patients with cancer by analyzing nationwide patie...