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Title: FUNAGES: An Educational Expert System for Fundus Fluorescein Angiography
Author(s): V. Dimitroula, N. Bassiliades, I. Vlahavas, S. Dimitrakos.
Availability: Click here to download the PDF (Acrobat Reader) file (7 pages).
Keywords: Expert Systems, Artificial Intelligence in Medicine.
Appeared in: Health Informatics Journal, Vol. 7, No. 3-4, pp. 214-221, 2001.
Abstract: FUNAGES is an expert system that deals with the interpretation of fundus fluorescein angiography. Fluorescein angiography is an extremely valuable clinical test that provides information about the circulatory system of the ocular fundus (the back of the eye) not attainable with a routine examination. The different, in place and time, appearance of fluorescein and the classification of the fundus diseases render angiography a dynamic, cinematographic and deductive diagnostic method. Therefore, the knowledge for interpreting fundus fluorescein angiograms allows an ophthalmologist specialized in ocular fundus diseases to follow a systematic, orderly and logical line of reasoning that leads to a proper diagnosis. FUNAGES was developed to simulate the above logical reasoning, in order to facilitate the inexperienced ophthalmologists in the interpretation of the angiograms. The system achieved its purposes in an adequate way via a graphical user interface and a thorough knowledge base.
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        This paper has been cited by the following:

1 M.L. Jackson, "Electronic Applications in Ophthalmology and Vision Rehabilitation", Proc. STEP Workshop on eHealth Software, Systems and Networks, Sept. 2003, Amsterdam, The Netherlands, 2003.
2 Tong Yangang, Yang Zaigui Hou, Tinghong Hu, Wangyuan Shao Bo, "Design and realization of intelligent database system of welding procedures", Electric Welding Machine, Vol. 34, No. 10, pp. 21-24, 2004.
3 Kocyigit, N., Isikan, M.O., AHUX: A knowledge-based expert system to teach troubleshooting of a typical air handling unit leaded by the symptom of the system failure, (2012) Energy Education Science and Technology Part A: Energy Science and Research, 30 (1), pp. 577-590.


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