Artificial Intelligence in Videofluoroscopy Swallow Study Analysis: A Comprehensive Review.

Videofluoroscopic Swallowing Study (VFSS) is considered the gold standard for diagnosing swallowing disorders, or dysphagia. However, the interpretation of VFSS is susceptible to human bias and subjectivity, resulting in significant inter- and intra-patient variability. In this context, artificial intelligence (AI) has emerged as a potentially valuable tool for physicians.

Deep learning supported echocardiogram analysis: A comprehensive review.

An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is instrumental in evaluating significant cardiac diseases. However, interpreting its results heavily relies on the clinician's expertise.

Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram.

The echocardiogram is an ultrasound imaging modality, employed to assess cardiac abnormalities. The Regional Wall Motion Abnormality (RWMA) is the occurrence of abnormal or absent contractility of a region of the heart muscle. Conventional assessment of RWMA is based on visual interpretation of endocardial excursion and myocardial thickening from the echocardiogram videos.