Objectives Lung ultrasound (LUS) is a portable, low-cost respiratory imaging tool but is
challenged by user dependence and lack of diagnostic specificity. It is unknown whether the …

Rapid technological advancements in artificial intelligence (AI) methods have fueled
explosive growth in decision tools being marketed by a rapidly growing number of …

Stroke is a leading cause of disability and mortality worldwide, necessitating the
development of advanced technologies to improve its diagnosis, treatment, and patient …

Abstract Magnetic Resonance Imaging (MRI) evidence of spinal cord compression plays a
central role in the diagnosis of degenerative cervical myelopathy (DCM). There is growing …

Rationale and Objectives Misdiagnosis of intracranial hemorrhage (ICH) can adversely
impact patient outcomes. The increasing workload on the radiologists may increase the …

Tools for medical image analysis have been developed to reduce the time needed to detect
abnormalities and to provide more accurate results. Particularly, tools based on artificial …

Applying curriculum learning requires both a range of difficulty in data and a method for
determining the difficulty of examples. In many tasks, however, satisfying these requirements …

After traumatic brain injury (TBI), intracranial hemorrhage (ICH) may occur that could lead to
death or disability if it is not accurately diagnosed and treated in a time-sensitive procedure …

Background: Current classification systems for thyroid nodules are very subjective. Artificial
intelligence (AI) algorithms have been used to decrease subjectivity in medical image …

The general public's attitudes, demands, and expectations regarding medical AI could
provide guidance for the future development of medical AI to satisfy the increasing needs of …