This assignment focuses on ontology application to healthcare. Below are several articles for you to review. You can use one of these articles or select a different one. You need to write an essay on...

Article: Ontology-guided organ detection to retrieve web images of disease manifestation: towards the construction of a consumer-based health image library
Introduction    1
Conclusion    3
Reference    4
Introduction
In medicine and practical applications, both textual and graphic information are essential. Natural language and graphics are needed to describe illnesses, medical procedures, and other topics that are important to doctors, carers, and patients. circumstances and methods Researchers have built and recycled a variety of elaborate models to databases of medical terminology texts like the Integrated Medical Language System (UMLS). Conversely, there has been a dearth of research attempting to standardise medical information visually (Bukhari et al,2015). Several medical picture databases focus on a particular topic, such as a database of lung CT scans or an archive of cardiovascular MRI scans or a database of human anatomy photographs. This is primarily due to the time-consuming and arduous nature of the picture-gathering methods, which severely restricts the size of these databases (Chen et al,2013). As an added bonus, they comment on pictures with phrases written in a common language, which might cause confusion while searching for pictures. Finally, most existing picture databases are behind paywalls.
When it comes to encoding useful information in biomedicine, ontologies have shown to be particularly effective. The ease with which they may be used in the reasoning processes by medical decision assistance systems and the formal but straightforward, powerful, and incremental nature of the biological information they record are two explanations for this success (Kim et al,2014).
Our ultimate objective is to create a patient-centric, large-scale health picture base that is available online without charge and that includes photos of human illness symptoms, organs, medications, and other medical entities. Our picture database will follow the UMLS template and be annotated with words from established medical ontologies like the FMA, which is a departure from prior efforts (Gurcan et al,2017).
For this reason, researchers focus on collecting photographic pictures, which make up a significant portion of all biological images, since the information base is intended for laypeople. As far as researchers know, their first attempt is to develop a large-scale medical picture base with attached ontology words (Zillner et al,2014).
The most challenging part of creating this picture database is amassing a significant number of trustworthy photos for millions of medical phrases. The Internet is a rapidly expanding, widely accessible, and free...