Several factors, including advances in computational algorithms, the availability of high-
performance computing hardware, and the assembly of large community-based databases …

PURPOSE Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast
cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk …

Background: As artificial intelligence (AI) continues to advance with breakthroughs in natural
language processing (NLP) and machine learning (ML), such as the development of models …

Featured Application Critical clinical variables, such as ECOG performance status, are
required for retrospective research but may be incomplete. A natural language processing …

Simple Summary Breast cancer is a heterogeneous disease characterized by different risks
of relapse, which makes it challenging to predict progression and select the most …

Various natural language processing (NLP) algorithms have been applied in the literature to
analyze radiology reports pertaining to the diagnosis and subsequent care of cancer …

Cancer centres rely on electronic information in oncology information systems (OIS) to guide
patient care. We investigated the completeness and accuracy of routinely collected head …

This systematic review was conducted to explore natural language processing (NLP)
focusing on text representation techniques and algorithms used previously to identify …

PURPOSE To evaluate natural language processing (NLP) methods to infer metastatic sites
from radiology reports. METHODS A set of 4,522 computed tomography (CT) reports of 550 …

PURPOSE As the onset of cancer recurrence is not explicitly recorded in the electronic
health record (EHR), a high volume of manual chart review is required to detect the cancer …