Search

Machine (especially deep) learning algorithms are changing the way wildlife imagery is processed. They dramatically speed up the time to detect, count, and classify animals and their behaviours. Yet, we currently have very few systematic literature surveys on its use in wildlife imagery. Through a literature survey (a ‘rapid’ review) and bibliometric mapping, we explored its use across: 1) species (vertebrates), 2) image types (e.g., camera traps, or drones), 3) study locations, 4) alternative machine learning algorithms, 5) outcomes (e.g., recognition, classification, or tracking), 6) reporting quality and openness, 7) author affiliation, and 8) publication journal types. We found that an increasing number of studies used convolutional neural networks (i.e., deep learning). Typically, studies have focused on large charismatic or iconic mammalian species. An increasing number of studies have been published in ecology-specific journals indicating the uptake of deep learning to transform the detection, classification and tracking of wildlife. Sharing of code was limited, with only 20% of studies providing links to analysis code. Much of the published research and focus on animals came from India, China, Australia, or the USA. There were relatively few collaborations across countries. Given the power of machine learning, we recommend increasing collaboration and sharing approaches to utilise increasing amounts of wildlife imagery more rapidly and transform and improve understanding of wildlife behaviour and conservation. Our survey, augmented with bibliometric analyses, provides valuable signposts for future studies to resolve and address shortcomings, gaps, and biases.

This resource review collated some of the materials available that could be helpful for the speech pathologist in the hospital setting. We looked at a variety of resources including podcasts, textbooks and artificial intelligence. The aim of this review was to highlight the more relevant, and easily accessible resources that could have clinical and professional applications for speech pathologists of varying levels of experience. [ABSTRACT FROM AUTHOR]

Melanotic neuroectodermal tumour of infancy is a rare benign pigmented tumour that typically appears in the first year of life. We report an atypical presentation of this tumour, associated with an erupted primary tooth in a 7-month-old boy. We discuss the clinical, radiographic and histologic features of this rare tumour, as well as its surgical management and the follow-up treatment plan. [ABSTRACT FROM AUTHOR]

Melanotic neuroectodermal tumour of infancy is a rare benign pigmented tumour that typically appears in the first year of life. We report an atypical presentation of this tumour, associated with an erupted primary tooth in a 7-month-old boy. We discuss the clinical, radiographic and histologic features of this rare tumour, as well as its surgical management and the follow-up treatment plan.