Avtor/Urednik		Jesenšek Papež, Breda; Palfy, Miroslav; Mertik, Matej; Turk, Zmago
Naslov		Infrared thermography based on artificial intelligence as a screening method for carpal tunnel syndrome diagnosis
Tip		članek
Vir		J Int Med Res
Vol. in št.		Letnik 37, št. 3
Leto izdaje		2009
Obseg		str. 779-90
Jezik		eng
Abstrakt		This study further evaluated a computer-based infrared thermography (IRT) system, which employs artificial neural networks for the diagnosis of carpal tunnel syndrome (CTS) using a large database of 502 thermal images of the dorsal and palmar side of 132 healthy and 119 pathological hands. It confirmed the hypothesis that the dorsal side of the hand is of greater importance than the palmar side when diagnosing CTS thermographically. Using this method it was possible correctly to classify 72.2% of all hands (healthy and pathological) based on dorsal images and over 80% of hands when only severely affected and healthy hands were considered. Compared with the gold standard electromyographic diagnosis of CTS, IRT cannot be recommended as an adequate diagnostic tool when exact severity level diagnosis is required, however we conclude that IRT could be used as a screening tool for severe cases in populations with high ergonomic risk factors of CTS.
Deskriptorji		CARPAL TUNNEL SYNDROME THERMOGRAPHY SKIN TEMPERATURE ARTIFICIAL INTELLIGENCE