Artificial intelligence and cholangiocarcinoma: Updates and prospects

Table 1 Advantages and disadvantages of artificial intelligence models used for cholangiocarcinoma diagnosis in radiology

AI technology	Imaging modalities used in	Advantages	Disadvantages
Logistic regression	US/CT	Interpretable	Low precision
Support-vector machine	US/CT/MRI	Avoids overlearning and dimension disaster problems	Prone to missing data
Extreme learning machine	CT	Does not need high amount of data for training	Slow processing speed
Artificial neural network	CT/MRI	High generalization power	Needs long training time
Convolutional neural network	US/CT/MRI	Higher efficacy and speed as there is no need to compute features as first step	Needs large training data

AI: Artificial intelligence; CT: Computed tomography; MRI: Magnetic resonance imaging; US: Ultrasound.