Table 2.
Artificial intelligence in treatment of colorectal cancer
|
Type of study
|
Ref.
|
Method
|
Conclusion
|
| Retrospective study | Passi et al[109], 2015 | DSS system | DSS system used follow-up data as a knowledge source to generate appropriate follow-up recommendations for patients receiving treatment |
| Retrospective study | Lee et al[110], 2018 | Watson for Oncology | Watson for Oncology could provide evidence-based treatment advice for oncologists |
| Retrospective study | Siddiqi et al[111], 2008 | MATCH system | MATCH system could provide hundreds of data samples to help doctors choose the most personalized treatment plan |
| Retrospective study | Li et al[112], 2018 | Nanorobot | Nanorobots were relatively safe and immune inert. DNA nanorobots might represent a strategy for precise drug delivery in cancer treatment |
| Experimental study | Felfoul et al[113], 2016 | Nanorobot | The robot achieved an accurate effect of attacking cancer tumors |
| Review | Koelzer et al[114], 2019 | ML | The combination of ML and computational pathology could inform the clinical choice and prognosis stratification of CRC patients |
| Retrospective study | Lee et al[116], 2019 | Narrow-band imaging | Narrow-band imaging helped doctors to predict the histology of colorectal polyps and estimate the depth of invasion |
| Meta-analysis, Case control study | Ichimasa et al[117], 2018 | AI | AI could reduce unnecessary surgery after endoscopic resection of stage T1 CRC without loss of lymph node metastasis |
| Review | Kirchberg et al[118], 2019 | Operation robot | Robotic surgery had great potential, but it still needed high-quality evidence-based medicine |
| Experimental study | Leonard et al[120], 2014 | Smart tissue autonomous robot | Smart tissue autonomous robot was more accurate than surgeons using the most advanced robotic surgical system |
| Case control study | Huang et al[121], 2019 | Operation robot | The operation robot had the advantages of short operation time, low estimated bleeding, and fast recovery after operation |
| Review | Zheng et al[122], 2020 | Operation robot | There were some limitations, such as the disunity of technical standards and the excessive dependence on surgical robot equipment |
| Review | Mitsala et al[123], 2021 | Computer-assisted drug delivery techniques | The technology could help to enhance the sensitivity and accuracy of targeted drugs |
| Case control study | Aikemu et al[124], 2020 | AI | AI provided personalized and novel evidence-based clinical treatment strategies for CRC |
| Review | Hamamoto et al[125], 2020 | AI | AI provided a variety of new technologies for the treatment of CRC, such as surgical robots, drug localization technology, and various medical devices |
| Review | Pritzker[126], 2020 | AI | AI could screen individual biomarkers for comprehensive and individualized treatment of colon cancer with low toxicity |
| Experimental study | Ding et al[127], 2020 | AI | The drug dose optimization technology based on AI could achieve more accurate individualized treatment than traditional methods |
AI: Artificial intelligence; CRC: Colorectal cancer; DSS: Decision support system; ML: Machine learning.