A hybrid artificial intelligence solution approach to aftercare for cancer patients

Author:

Scherrer AlexanderORCID,Zimmermann TobiasORCID,Riedel SinanORCID,Venios StefanosORCID,Koussouris SotirisORCID,Plakia MariaORCID,Diamantopoulos SotirisORCID,Athanassopoulos SotirisORCID,Laras ParisORCID,Mousa FihmiORCID,Zifrid RobertORCID,Tillil HartmutORCID,Musisi Isa Wasswa,Kosmidis ThanosORCID,Reis Joaquim C.ORCID,Moehler MarkusORCID,Oestreicher GabrielleORCID,Kalamaras Ilias,Pantelidou KonstantinaORCID,Votis Konstantinos,Vassiliou CharalamposORCID

Abstract

AbstractThis 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.

Funder

Horizon 2020 Framework Programme

Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference37 articles.

1. Robert Koch Institute (2022) Association of population-based cancer registries in Germany: Cancer in Germany 2017/18. 13 edn

2. European Commission (2022) ECIS - European cancer information system. URL: ecis.jrc.ec.europa.eu/index.php

3. National Cancer Institute (2023) Types of cancer treatment. www.cancer.gov/about-cancer/treatment/types

4. Jordan Karin, Feyer Petra, Höller Ulrike, Link Hartmut, Wörmann Bernhard, Jahn Franziska (2017) Supportive treatments for patients with cancer - clinical practise guideline. Deutsch Ärzteblatt Int 114:481–487

5. Brownstein Callum G, Twomey Rosemary, Temesi John, Wrightson James G, Martin Tristan, Medysky Mary E, Nicole Culos-Reed S, Millet Guillaume Y (2021) Physiological and psychosocial correlates of cancer-related fatigue. J Cancer Surviv 16:1339–1354

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3