A hybrid artificial intelligence solution approach to aftercare for cancer patients

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Abstract

This publication presents a solution approach to oncological aftercare for cancer patients by means of artificial intelligence (AI) methods. This approach shall support patients in overcoming the after-effects of therapy effectively with suitable supportive actions and health-care professionals in goal-oriented planning of these actions. Different AI methods are used for analyzing patients’ needs for supportive actions depending on the available health data and for a monitoring of these actions. Decision support methods are used for effective planning of actions based on the AI results of analysis. The solution approach is realized in the form of a web application for health-care professionals, which allows for data analysis and planning of actions, and a mobile application for patients, which facilitates documentation and monitoring of supportive actions. In combination, they facilitate a closed-loop workflow for the effective cooperation of health-care professionals and cancer patients. The solution approach is illustrated for an exemplary case scenario of colorectal cancer.

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APA

Scherrer, A., Zimmermann, T., Riedel, S., Venios, S., Koussouris, S., Plakia, M., … Vassiliou, C. (2023). A hybrid artificial intelligence solution approach to aftercare for cancer patients. Neural Computing and Applications, 35(29), 21381–21397. https://doi.org/10.1007/s00521-023-08765-w

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