MOGGE ARTIFICIAL INTELLIGENCE UNIT
Announced in August 2020, MOGGE foundation artificial intelligence (AI) unit represents one of earliest, if not the first, AI unit that is committed to medical field in the Middle-East.
The message of this unit is to enhance the culture of AI in medicine in the Middle-East and to develop efficient approaches to improve medical care and support individualized medicine.
This unit works in proximal collaboration with MOGGE research committee, namely beta team which is responsible for conduction of multicenter studies, which design and collect large databases, which are suitable for machine learning models. The unit works in distal collaboration with MOGGE foundation software team (MoggeSoft), which is responsible for final development of clinical applications based on results from machine learning algorithms.
ECISS development score
ECISS is a system that was designed by MOGGE foundation AI unit, and is currently under reviewing. ECISS development project provides a strategy for continuous development of ECISS by providing future versions of the ECISS by expanding databases and variables included in machine learning analysis
Ovarian cysts international database (OCID)
The new project aims at applying machine learning algorithms to determine behaviour and suggested management of ovarian cysts
ECISS validation project
MOGGE foundation is currently working with Leeds Teaching Hospitals to consider future collaboration to validate ECISS score using new EC data