AIMC Topic: Natural Language Processing
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Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study.
Journal of medical Internet research
Apr 3, 2025
BACKGROUND: Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various natural language processing tasks, particularly in text generation. However, their effectiveness in summarizing radiology report impressio...
Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis.
JMIR medical informatics
Apr 2, 2025
BACKGROUND: The use of patient-reported outcome measures (PROMs) is an expected component of high-quality, measurement-based chiropractic care. The largest health care system offering integrated chiropractic care is the Veterans Health Administration...
Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT).
Psychological medicine
Apr 2, 2025
BACKGROUND: As the use of guided digitally-delivered cognitive-behavioral therapy (GdCBT) grows, pragmatic analytic tools are needed to evaluate coaches' implementation fidelity.
Understanding patterns of loneliness in older long-term care users using natural language processing with free text case notes.
PloS one
Apr 2, 2025
Loneliness and social isolation are distressing for individuals and predictors of mortality, yet data on their impact on publicly funded long-term care is limited. Using recent advances in natural language processing (NLP), we analysed pseudonymised ...
Enhancing data quality in medical concept normalization through large language models.
Journal of biomedical informatics
Apr 1, 2025
OBJECTIVE: Medical concept normalization (MCN) aims to map informal medical terms to formal medical concepts, a critical task in building machine learning systems for medical applications. However, most existing studies on MCN primarily focus on mode...
Development and Evaluation of Machine Learning Models for the Identification of Surgical Site Infection in Electronic Health Records.
Surgical infections
Mar 31, 2025
Surgical site infection (SSI) affects 160,000-300,000 patients per year in the United States, adversely impacting a wide range of patient- and health-system outcomes. Surveillance programs for SSI are essential to quality improvement and public heal...
Efficient multi-task learning with instance selection for biomedical NLP.
Computers in biology and medicine
Mar 31, 2025
BACKGROUND: Biomedical natural language processing (NLP) increasingly relies on large language models and extensive datasets, presenting significant computational challenges.
A Novel Natural Language Processing Tool Improves Colonoscopy Auditing of Adenoma and Serrated Polyp Detection Rates.
Journal of gastroenterology and hepatology
Mar 31, 2025
BACKGROUND AND STUDY AIMS: Determining adenoma detection rate (ADR) and serrated polyp detection rate (SDR) can be challenging as they usually involve manual matching of colonoscopy and histology reports. This study aimed to validate a Natural Langua...
Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages.
BMC medical informatics and decision making
Mar 31, 2025
BACKGROUND: The integration of big data and artificial intelligence (AI) in healthcare, particularly through the analysis of electronic health records (EHR), presents significant opportunities for improving diagnostic accuracy and patient outcomes. H...
Opportunities and Challenges for Large Language Models in Primary Health Care.
Journal of primary care & community health
Mar 31, 2025
Primary Health Care (PHC) is the cornerstone of the global health care system and the primary objective for achieving universal health coverage. China's PHC system faces several challenges, including uneven distribution of medical resources, a lack o...
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