Artificial intelligence as a means to improve recognition of gastrointestinal angiodysplasia in video capsule endoscopy

Table 1 Artificial intelligence methods for gastrointestinal angiodysplasia detection[17]

Artificial intelligence	Description	Function	Advantages	Disadvantages
Machine learning	Ability of a computer program to learn	Discern logic-based rules from input and output data	Automation of tasks	Requires high-quality data likely to have some causal link
	Algorithm workflow improves performance		Detect patterns between input and output data
Artificial neural network	Use of weighted/graded signals to perceive data	Adaptive learning	Mapping performance between input and output data	Requires labeled data
	Use of computational communication		Adaptive learning capability	Requires large volumes of data
Convolutional neural network	Image detection	Computer vision	Highly accurate image recognition and classification	Highly dependent on a training modelor models
	Interpretation through three-dimensional convolutional layers			Limited by image rotation or orientation