A hybrid artificial intelligence solution approach to aftercare for cancer patients

Alexander Scherrer,Tobias Zimmermann,Sinan Riedel, Stefanos Venios, Sotiris Koussouris, Maria Plakia, Sotiris Diamantopoulos, Sotiris Athanassopoulos,Paris Laras,Fihmi Mousa,Robert Zifrid,Hartmut Tillil,Isa Wasswa Musisi, Thanos Kosmidis,Joaquim C. Reis, Markus Moehler, Gabrielle Oestreicher,Ilias Kalamaras,Konstantina Pantelidou,Konstantinos Votis,Charalampos Vassiliou

Neural Comput. Appl.(2023)

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摘要
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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关键词
Oncological aftercare,Artificial intelligence,Data analysis,Decision support
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