ISQI-CT-AI practice

Q3 Single choice

"BioSearch" is creating an AI model used for predicting cancer occurrence by examining X-ray images.
The accuracy of the model in isolation has been found to be good. However, users of the model started complaining about the poor quality of results---especially the inability to detect real cancer cases---when it was put into practice in the diagnosis lab, leading to the discontinuation of the model's usage.

A testing expert was called in to identify deficiencies in the test planning that led to this situation.

Which ONE of the following options would you expect to be MOST LIKELY identified by the test expert?

A
A lack of similarity between the training and testing data.
B
The input data was not tested for quality prior to being used for testing.
C
A lack of focus on choosing the right functional performance metrics.
D
A lack of focus on non-functional requirements testing.