AIMC Topic: Large Language Models
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Application of large language models in clinical record correction: a comprehensive study on various retraining methods.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
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...
Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review.
JAMA
Jan 28, 2025
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.
A survey analysis of the adoption of large language models among pathologists.
American journal of clinical pathology
Jan 28, 2025
OBJECTIVES: We sought to investigate the adoption and perception of large language model (LLM) applications among pathologists.
Making the most of Artificial Intelligence and Large Language Models to support collection development in health sciences libraries.
Journal of the Medical Library Association : JMLA
Jan 14, 2025
This project investigated the potential of generative AI models in aiding health sciences librarians with collection development. Researchers at Chapman University's Harry and Diane Rinker Health Science campus evaluated four generative AI models-Cha...
Evaluating a large language model's ability to answer clinicians' requests for evidence summaries.
Journal of the Medical Library Association : JMLA
Jan 14, 2025
OBJECTIVE: This study investigated the performance of a generative artificial intelligence (AI) tool using GPT-4 in answering clinical questions in comparison with medical librarians' gold-standard evidence syntheses.
The sports nutrition knowledge of large language model (LLM) artificial intelligence (AI) chatbots: An assessment of accuracy, completeness, clarity, quality of evidence, and test-retest reliability.
PloS one
Jan 1, 2025
BACKGROUND: Generative artificial intelligence (AI) chatbots are increasingly utilised in various domains, including sports nutrition. Despite their growing popularity, there is limited evidence on the accuracy, completeness, clarity, evidence qualit...
Physician awareness of, interest in, and current use of artificial intelligence large language model-based virtual assistants.
PloS one
Jan 1, 2025
There is increasing medical interest and research regarding the potential of large language model-based virtual assistants in healthcare. It is important to understand physicians' interest in implementing these tools into clinical practice, so preced...
Careful design of Large Language Model pipelines enables expert-level retrieval of evidence-based information from syntheses and databases.
PloS one
Jan 1, 2025
Wise use of evidence to support efficient conservation action is key to tackling biodiversity loss with limited time and resources. Evidence syntheses provide key recommendations for conservation decision-makers by assessing and summarising evidence,...
A comparative analysis of large language models versus traditional information extraction methods for real-world evidence of patient symptomatology in acute and post-acute sequelae of SARS-CoV-2.
PloS one
Jan 1, 2025
BACKGROUND: Patient symptoms, crucial for disease progression and diagnosis, are often captured in unstructured clinical notes. Large language models (LLMs) offer potential advantages in extracting patient symptoms compared to traditional rule-based ...
Comparitive performance of artificial intelligence-based large language models on the orthopedic in-training examination.
Journal of orthopaedic surgery (Hong Kong)
Jan 1, 2025
BACKGROUND: Large language models (LLMs) have many clinical applications. However, the comparative performance of different LLMs on orthopedic board style questions remains largely unknown.
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