AIMC Topic: Natural Language Processing
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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.
Journal of medical Internet research
Jan 6, 2025
BACKGROUND: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to th...
Assessing the feasibility and external validity of natural language processing-extracted data for advanced lung cancer patients.
Lung cancer (Amsterdam, Netherlands)
Jan 4, 2025
BACKGROUND: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with ad...
Leveraging Transformers-based models and linked data for deep phenotyping in radiology.
Computer methods and programs in biomedicine
Jan 3, 2025
BACKGROUND AND OBJECTIVE: Despite significant investments in the normalization and the standardization of Electronic Health Records (EHRs), free text is still the rule rather than the exception in clinical notes. The use of free text has implications...
Perspectives surrounding robotic total hip arthroplasty: a cross-sectional analysis using natural language processing.
Canadian journal of surgery. Journal canadien de chirurgie
Jan 3, 2025
BACKGROUND: Robotic technology has been used in total hip arthroplasty (THA) for several years. Despite the advances in this field, perspectives surrounding robotic THA are not fully understood. This study aimed to characterize the landscape of robot...
Genomic language models: opportunities and challenges.
Trends in genetics : TIG
Jan 2, 2025
Large language models (LLMs) are having transformative impacts across a wide range of scientific fields, particularly in the biomedical sciences. Just as the goal of natural language processing is to understand sequences of words, a major objective i...
DNA promoter task-oriented dictionary mining and prediction model based on natural language technology.
Scientific reports
Jan 2, 2025
Promoters are essential DNA sequences that initiate transcription and regulate gene expression. Precisely identifying promoter sites is crucial for deciphering gene expression patterns and the roles of gene regulatory networks. Recent advancements in...
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training.
IEEE transactions on medical imaging
Jan 2, 2025
In medical Vision-Language Pre-training (VLP), significant work focuses on extracting text and image features from clinical reports and medical images. Yet, existing methods may overlooked the potential of the natural hierarchical structure in clinic...
Artificial intelligence-enabled safety monitoring in Alzheimer's disease clinical trials.
The journal of prevention of Alzheimer's disease
Jan 1, 2025
BACKGROUND: Investigators conducting clinical trials have an ethical, scientific, and regulatory obligation to protect the safety of trial participants. Traditionally, safety monitoring includes manual review and coding of adverse event data by exper...
Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review.
Journal of medical Internet research
Dec 30, 2024
BACKGROUND: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been identified as a potentially promising technical paradigm for the pharmacovigilance field. There are several instances of AI approac...
A topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information.
Scientific reports
Dec 30, 2024
Afaan Oromo is a resource-scarce language with limited tools developed for its processing, posing significant challenges for natural language tasks. The tools designed for English do not work efficiently for Afaan Oromo due to the linguistic differen...
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