This study aimed to review the application of natural language processing (NLP) in thyroid-
related conditions and to summarize current challenges and potential future directions. We …

Purpose Digital Imaging and Communications in Medicine (DICOM), a standard file format
for medical imaging data, contains metadata describing each file. However, metadata are …

Identifying cohorts of patients based on eligibility criteria such as medical conditions,
procedures, and medication use is critical to recruitment for clinical trials. Such criteria are …

The application of chatbots and NLP in radiology is an emerging field, currently
characterized by a growing body of research. An umbrella review has been proposed …

Background Identifying patients at a high risk of psychosis relapse is crucial for early
interventions. A relevant psychiatric clinical context is often recorded in clinical notes; …

Background The content of the clinical notes that have been continuously collected along
patients' health history has the potential to provide relevant information about treatments and …

The heterogeneity of the formats and standards of clinical data, which includes both
structured, semi-structured, and unstructured data, in addition to the sensitive information …

As a key modifiable risk factor, alcohol consumption is clinically crucial information that
allows medical professionals to further understand their patients' medical conditions and …

The use of pre-trained language models fine-tuned to address specific downstream tasks is
a common approach in natural language processing (NLP). However, acquiring domain …

Although 20% of patients with depression receiving treatment do not achieve remission,
predicting treatment-resistant depression (TRD) remains challenging. In this study, we …