Current models for correlating electronic medical records with-omics data largely ignore
clinical text, which is an important source of phenotype information for patients with cancer …

Natural language processing (NLP), which aims to convert human language into
expressions that can be analyzed by computers, is one of the most rapidly developing and …

Objective There is a lot of information about cancer in Electronic Health Record (EHR) notes
that can be useful for biomedical research provided natural language processing (NLP) …

Lichen sclerosus (LS) is a chronic inflammatory skin disease commonly affecting the
anogenital area with less frequent extragenital occurrence. Extragenital LS cutaneous …

Objectives This study sought to explore the use of novel natural language processing (NLP)
methods for classifying unstructured, qualitative textual data from interviews of patients with …

The medical literature has been growing exponentially, and its size has become a barrier for
physicians to locate and extract clinically useful information. As a promising solution, natural …

The pathological assessment of a breast surgical specimen starts with macroscopic
evaluation, arguably one of the most critical steps, as only a small percentage of the tissue is …

Context.—Bilateral mastectomy for chest masculinization is one of the gender-affirming
procedures for transmasculine individuals. Objective.—To optimize gross handling protocols …

Background Occult breast cancer (OBC) is classified as carcinoma of an unknown primary
site, and the adequate therapy for OBC remains controversial. This retrospective study …

Background: This study aims to characterize incidental microscopic findings in this
population to determine whether there is a benefit to routine histopathologic examination of …