A long-running goal of the clinical NLP community is the extraction of important variables
trapped in clinical notes. However, roadblocks have included dataset shift from the general …

Background Clinical narratives are essential components of electronic health records. The
adoption of electronic health records has increased documentation time for hospital staff …

The adoption of Electronic Health Record (EHR) and other e-health infrastructures over the
years has been characterized by an increase in medical errors. This is primarily a result of …

Physicians write clinical notes with abbreviations and shorthand that are difficult to decipher.
Abbreviations can be clinical jargon (writing “HIT” for “heparin induced thrombocytopenia”) …

Objective To assess the performance of large language models (LLMs) for zero-shot
disambiguation of acronyms in clinical narratives. Materials and Methods Clinical narratives …

知识图谱作为人工智能的重要分支, 因其强大的语义处理能力和数据组织能力,
可以全面整合医学概念, 挖掘潜在医学知识, 已成为医学智能化发展的重要手段. 鉴于此 …

Standigm ASK™ revolutionizes healthcare by addressing the critical challenge of identifying
pivotal target genes in disease mechanisms—a fundamental aspect of drug development …

The explosion of clinical textual data has drawn the attention of researchers. Owing to the
abundance of clinical data, it is becoming difficult for healthcare professionals to take real …

Building and analyzing knowledge graphs (KGs) to aid drug discovery is a topical area of
research. A salient feature of KGs is their ability to combine many heterogeneous data …

The advent of patient access to complex medical information online has highlighted the
need for simplification of biomedical text to improve patient understanding and engagement …