Background Machine learning has been applied to improve diagnosis and prognostication
of acute traumatic spinal cord injury. We investigate potential for clinical integration of …

Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …

Purpose Digital transformation affected modern society influencing how businesses
cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This …

Spinal injuries, including cervical and thoracolumbar fractures, continue to be a major public
health concern. Recent advancements in machine learning and deep learning technologies …

Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The
quantification of MFI requires time-consuming and rater-dependent manual segmentation …

The COVID-19 pandemic has worked as a catalyst, pushing governments, private
companies, and healthcare facilities to design, develop, and adopt innovative solutions to …

Natural language processing (NLP), a domain of artificial intelligence (AI) that models
human language, has been used in medicine to automate diagnostics, detect adverse …

Cervical spondylotic myelopathy (CSM) is the main cause of cervical spinal cord dysfunction
in adults, especially in middle-aged and elderly patients, which easily leads to gait …

Spinal cord tumors constitute a diverse group of rare neoplasms associated with significant
mortality and morbidity that pose unique clinical and surgical challenges. Diagnostic …

Background Degenerative cervical myelopathy (DCM) is a chronic neurological condition
estimated to affect 1 in 50 adults. Due to its diverse impact, trajectory and management …