Applications of digital Medicine in oncology: Prospects and challenges

Hewei Ge; Lixi Li; Di Zhang; Fei Ma

doi:10.1002/cai2.37

Cancer Innovation 2022, 1(4): 285-292 https://doi.org/10.1002/cai2.37

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Open Access | Issue | Published: 04 December 2022

Applications of digital Medicine in oncology: Prospects and challenges

Show Author's Information Hide Author's Information Hewei Ge^¹, Lixi Li^¹, Di Zhang^¹, Fei Ma^¹

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Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Keywords:

artificial intelligence, oncology, digital medicine

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Ge H, Li L, Zhang D, et al. Applications of digital Medicine in oncology: Prospects and challenges. Cancer Innovation, 2022, 1(4): 285-292. https://doi.org/10.1002/cai2.37

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Abstract Full text About this article

Abstract

The current state of oncology medical services is not encouraging and is unable to fully meet the needs of patients with cancer. In recent years, rapidly developing artificial intelligence technology and gradual advancements in mobile phones, sensors, and wearable devices, which have made these more compact, affordable, and popular, have greatly expanded the development of digital medicine. Digital medicine refers to clinical evidence‐based technology and products with a direct impact on disease management and research. Integrating digital medicine into clinical practice has the advantages of broader applicability, greater cost‐effectiveness, better accessibility, and improved diagnostic and therapeutic performance. Digital medicine has emerged in different clinical application scenarios, including cancer prevention, screening, diagnosis, and treatment, as well as clinical trials. Additionally, big data generated from digital medicine can be used to improve levels of clinical diagnosis and treatment. However, digital medicine also faces many challenges, including security regulation and privacy protection, product usability, data management, and optimization of algorithms. In summary, the application and development of digital medicine in the field of cancer face numerous opportunities and challenges.

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Applications of digital Medicine in oncology: Prospects and challenges

Show Author's information Hide Author's Information Hewei Ge^¹, Lixi Li^¹, Di Zhang^¹, Fei Ma^¹

(

)

Abstract

Keywords: artificial intelligence, oncology, digital medicine

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Received: 13 October 2022

Accepted: 09 November 2022

Published: 04 December 2022

Issue date: December 2022

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This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.