Fetal condition during labour is inferred from a continuous visual rec
ording of the fetal heart rate and uterine contractions, called the ca
rdiotocogram (CTG). Difficulties in CTG interpretation is a major prob
lem that can lead to both unnecessary Caesarean sections and damage to
the infant. Our group has developed an intelligent system which appli
es expert knowledge to support clinical decision making during labour
The system was previously found to obtain a performance comparable to
local experts in two internal evaluations. This study presents a valid
ation of the system which compared its management with 17 experts from
16 leading centres within the U.K. in 50 cases selected from a databa
se of 2400 high risk labours. This study found that the majority of ex
perts agreed well and were largely consistent in their management of t
he cases. The system obtained a performance that was indistinguishable
from the experts. Copyright (C) 1996 Elsevier Science Ltd