Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

PURPOSE The advancement of natural language processing (NLP) has promoted the use
of detailed textual data in electronic health records (EHRs) to support cancer research 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) …

Natural language processing (NLP) plays a key role in advancing health care, being key to
extracting structured information from electronic health reports. In the last decade, several …

Exa-scale volumes of medical data have been produced for decades. In most cases, the
diagnosis is reported in free text, encoding medical knowledge that is still largely …

PURPOSE Although the bulk of patient-generated health data are increasing exponentially,
their use is impeded because most data come in unstructured format, namely as free-text …

There continues to be rapid developments and research in the field of Artificial Intelligence
(AI) in Urological Oncology worldwide. In this review we discuss the basics of AI, application …

Pathology reports primarily consist of unstructured free text and thus the clinical information
contained in the reports is not trivial to access or query. Multiple natural language …

Background Pathology synopses consist of semi-structured or unstructured text summarizing
visual information by observing human tissue. Experts write and interpret these synopses …

PURPOSE Typically stored as unstructured notes, surgical pathology reports contain data
elements valuable to cancer research that require labor-intensive manual extraction …