乳腺癌中的人工智能:应用和未来的前景
Shuixin Yan1, Jiadi Li1, Weizhu Wu2
1The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315000, Zhejiang, China.
Journal of cancer research and clinical oncology
|September 1, 2023
概括
人工智能 (AI) 提高了乳腺癌检测和治疗的准确性. 医疗成像和病理学的AI应用改善了早期诊断,有利于患者的结果,并减少了临床医生的工作量.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 乳腺癌是全球女性癌症死亡的主要原因之一.
- 早期检测和及时治疗对于改善患者预后至关重要.
- 人工智能 (AI) 越来越多地被整合到各种医疗应用中.
研究的目的:
- 审查人工智能在乳腺癌诊断和治疗中的当前应用.
- 探索AI在提高乳腺癌成像,病理学和辅助疗法的潜力.
- 确定人工智能在乳腺癌治疗中的未来研究方向和挑战.
主要方法:
- 对人工智能在乳腺癌中的应用进行文献综述.
- 分析AI在医学成像和病理学中对乳腺癌检测的作用.
- 检查AI对个性化治疗策略的贡献.
主要成果:
- 人工智能显著提高了乳腺癌诊断的准确性和敏感性.
- 由人工智能驱动的工具可以减少临床医生在分析医疗数据方面的工作量.
- 人工智能有助于个性化治疗计划和辅助疗法选择.
结论:
- 人工智能为乳腺癌的检测,诊断和治疗提供了巨大的好处.
- 需要进一步的研究和开发来克服挑战,并充分实现AI在瘤学的潜力.
- 人工智能整合有望提高乳腺癌管理的效率和患者结果.
更多相关视频
06:03Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
6.7K
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.3K
相关概念视频
Issues And Trends In Healthcare Delivery System
5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Current Trends in Nursing II
1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Cancer Survival Analysis
381
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
381
