On this episode I discuss how artificial intelligence-based tools can be used for the fast screening and the accurate forecasting of survival prognosis in cervical cancer.

References

Wang, CW., Liou, YA., Lin, YJ. et al. Artificial intelligence-assisted fast screening cervical high grade squamous intraepithelial lesion and squamous cell carcinoma diagnosis and treatment planning. Sci Rep 11, 16244 (2021).

Fowler JR, Maani EV, Jack BW. Cervical Cancer.

Massad, L. S. et al. 2012 updated consensus guidelines for the management of abnormal cervical cancer screening tests and cancer precursors. J. Low Genit. Tract. Dis. 17, S1–S27 (2013).

Ding, D., Lang, T., Zou, D. et al. Machine learning-based prediction of survival prognosis in cervical cancer. BMC Bioinformatics 22, 331 (2021). 

Dagogo-Jack I, Shaw AT. Tumour heterogeneity and resistance to cancer therapies. Nat Rev Clin Oncol. 2018;15:81–94.