Oral Tongue Sqamous Cell Carcinoma

Artificial intelligence and machine learning for prognostication in Head & Neck Cancer.

(A special focus on oral cavity)

Prediction of risk of locoregional recurrences in early Oral Tongue Cancer (OTSCC)

The web-based machine learning model showed 88.2% accuracy.

ProgTOOL: A web-based prognostic tool for treatment planning of oropharyngeal cancer patients.

The ProgTOOL showed 89.2% accuracy after training and external validation.

Funding: The ProgTOOL development has been funded through the K. Albin Johanssons Stiftelse (October 2021).

Disclaimer: This website is intended to be used for research purpose only. Authors can not guarantee the accuracy of the calculation for any particular patient. Any decision about cancer treatment should be made solely in consultation with a licensed specialist.

The tool has been developed by Alabi Rasheed Omobolaji at the Research Program Unit, Biomedicum, University of Helsinki, Finland. Locoregional recurrence developed with patients' data from Finnish and Brazilian hospitals. ProgTOOL: Trained and developed using Surveillance, Epidemiology, and End Result Program (SEER) dataset.

For feedbacks and comments, please contact: alabi.rasheed.omobolaji@gmail.com