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©The Author(s) 2022.
Artif Intell Gastroenterol. Apr 28, 2022; 3(2): 36-45
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.36
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.36
S. No | Fields of AI | Description |
1 | Machine learning | Pattern identification and analysis where machine can help to improve based on past experiences provided from the given data set |
2 | Deep learning | Consists of multilayered neural networks called artificial neural network, which enables the computer to learn and make decisions on its own |
3 | Natural language processing | Ability of the computer to extract data from human language and make decisions |
4 | Computer vision | Potential to obtain information from a series of images or videos |
5 | Mixed-integer linear programming model[11] | It is helpful in finding the locational, supply, production, distribution, collection, quarantine, recycling, reuse, and disposal decisions within a multiperiod multiechelon multiproduct supply chain |
6 | Covering tour approach[9] | Optimizing the distribution and allocation of resources among individuals. It is useful at the time of crisis |
7 | Mixed-integer linear mathematical model[6] | This model optimizes economic, social, and environmental objectives simultaneously |
8 | Neural network with runner root algorithm[8] | Minimizing risk and maximizing return in industrial production |
9 | Meta-heuristic algorithms[7] | A comprehensive framework to predict the demand for dairy products |
10 | Hybrid shapley value and multimoora method[10] | An intelligent performance evaluation system for different supply chains in industries |
- Citation: Ghosh NK, Kumar A. Colorectal cancer: Artificial intelligence and its role in surgical decision making. Artif Intell Gastroenterol 2022; 3(2): 36-45
- URL: https://www.wjgnet.com/2644-3236/full/v3/i2/36.htm
- DOI: https://dx.doi.org/10.35712/aig.v3.i2.36