The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis.
Muhammad AzizRawish FatimaCharles DongWade Lee-SmithAli NawrasPublished in: Journal of gastroenterology and hepatology (2020)
Given the results and limitations, the utility of AI colonoscopy holds promise and should be evaluated in more randomized controlled trials across different population, especially in patients solely undergoing colonoscopy for screening purpose as improved ADR will ultimately help in reducing incident colorectal cancer.
Keyphrases
- artificial intelligence
- deep learning
- convolutional neural network
- big data
- machine learning
- end stage renal disease
- randomized controlled trial
- ejection fraction
- newly diagnosed
- chronic kidney disease
- colorectal cancer screening
- cardiovascular disease
- prognostic factors
- type diabetes
- systematic review
- skeletal muscle
- study protocol
- insulin resistance
- patient reported
- weight loss
- drug induced