The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI)
and machine learning techniques in medicine. This has been driven by the development of …

This statement from the European Society of Thoracic imaging (ESTI) explains and
summarises the essentials for understanding and implementing Artificial intelligence (AI) in …

Hot work accidents have significant consequences. Admittedly, preventing hot work
accidents requires managers to analyze the accident profoundly and learn from the requisite …

In radiology, natural language processing (NLP) allows the extraction of valuable
information from radiology reports. It can be used for various downstream tasks such as …

Background Pulmonary embolisms (PE) are life‐threatening medical events, and early
identification of patients experiencing a PE is essential to optimizing patient outcomes …

Rationale and objectives To develop a Natural Language Processing (NLP) method based
on Bidirectional Encoder Representations from Transformers (BERT) adapted to French CT …

Venous thromboembolism (VTE) is a leading cause of preventable in-hospital mortality.
Monitoring VTE cases is limited by the challenges of manual medical record review and …

Radiological reports are a valuable source of information used to guide clinical care and
support research. Organizing and managing this content, however, frequently requires …

At present, there are still some problems in the document management of enterprise
innovation projects, such as non‐standard management, lagging update, chaotic content …

Objective Tracking global health funding is a crucial but time consuming and labor-intensive
process. This study aimed to develop a framework to automate the tracking of global health …