Background Incomplete clinical histories are a well-known problem in radiology. Previous dedicated quality improvement efforts focusing on reproducible assessments of the completeness of free-text clinical histories have relied on tedious manual anal...
BACKGROUND: Literature on how to translate information extracted from clinical progress notes into numeric scores for 3-step theory of suicide (3ST) factors is nonexistent. We determined which scoring option would best discriminate between patients w...
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing techniques.
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...
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVES: Applying large language models (LLMs) to the clinical domain is challenging due to the context-heavy nature of processing medical records. Retrieval-augmented generation (RAG) offers a solution by facilitating reasoning over large text so...
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
BACKGROUND: Mild cognitive impairment and early-stage dementia significantly impact healthcare utilization and costs, yet more than half of affected patients remain underdiagnosed. This study leverages audio-recorded patient-nurse verbal communicatio...
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVES: The application of natural language processing (NLP) in the clinical domain is important due to the rich unstructured information in clinical documents, which often remains inaccessible in structured data. When applying NLP methods to a c...
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.
International journal of law and psychiatry
Jan 1, 2025
The integration of artificial intelligence (AI) technologies in forensic psychiatry has gained significant attention due to their potential to enhance tasks such as outcome prediction and decision-making. In this study, we explored the feasibility an...
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