Conservation of marine ecosystems has been highlighted as a priority to ensure a
sustainable future. Effective management requires data collection over large spatio-temporal …

Introduction Despite the growing investment in and adoption of artificial intelligence (AI) in
medicine, the applications of AI in an emergency setting remain unclear. This scoping …

Background In recent years, there was an increasing popularity in applying artificial
intelligence in the medical field from computer-aided diagnosis (CAD) to patient prognosis …

Objectives/Hypothesis To create a new strategy for monitoring pediatric otitis media (OM),
we developed a brief, reliable, and objective method for automated classification using …

Background Middle ear diseases such as otitis media and middle ear effusion, for which
diagnoses are often delayed or misdiagnosed, are among the most common issues faced by …

The share of chronic odontogenic rhinosinusitis is 40% among all chronic rhinosinusitis.
Using automated information systems for differential diagnosis will improve the efficiency of …

OBJECTIVES: Misdiagnosis of acute and chronic otitis media in children can result in
significant consequences from either undertreatment or overtreatment. Our objective was to …

Objectives To summarise the accuracy of artificial intelligence (AI) computer vision
algorithms to classify ear disease from otoscopy. Design Systematic review and meta …

Aims Automatic identification of pachychoroid maybe used as an adjunctive method to
confirm the condition and be of help in treatment for macular diseases. This study …

Objective: To develop an artificial intelligence image classification algorithm to triage
otoscopic images from rural and remote Australian Aboriginal and Torres Strait Islander …