Suppr超能文献

数字医学在肿瘤学中的应用:前景与挑战。

Applications of digital Medicine in oncology: Prospects and challenges.

作者信息

Ge Hewei, Li Lixi, Zhang Di, Ma Fei

机构信息

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.

出版信息

Cancer Innov. 2022 Dec 4;1(4):285-292. doi: 10.1002/cai2.37. eCollection 2022 Dec.

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.

摘要

肿瘤医学服务的现状并不乐观,无法充分满足癌症患者的需求。近年来,快速发展的人工智能技术以及手机、传感器和可穿戴设备的逐步进步,使其更加小巧、实惠且普及,极大地推动了数字医学的发展。数字医学是指基于临床证据、对疾病管理和研究有直接影响的技术和产品。将数字医学融入临床实践具有适用性更广、成本效益更高、可及性更好以及诊断和治疗性能更优的优势。数字医学已出现在不同的临床应用场景中,包括癌症预防、筛查、诊断和治疗以及临床试验。此外,数字医学产生的大数据可用于提高临床诊断和治疗水平。然而,数字医学也面临许多挑战,包括安全监管和隐私保护、产品可用性、数据管理以及算法优化。总之,数字医学在癌症领域的应用和发展面临诸多机遇和挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8571/10686176/4f244421afd2/CAI2-1-285-g002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验