人工智能在行动:通过手术机器人和远程监控改善乳腺疾病管理

Q4 Medicine
Marwan Al-Raeei
{"title":"人工智能在行动:通过手术机器人和远程监控改善乳腺疾病管理","authors":"Marwan Al-Raeei","doi":"10.1016/j.mcpsp.2024.100470","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>This article aims to discuss the transformative impact of artificial intelligence (AI) on the identification and management of breast diseases, with a specific focus on breast cancer.</p></div><div><h3>Materials and methods</h3><p>Healthcare providers have integrated AI technologies such as surgical robots and remote monitoring systems to improve the accuracy and efficiency of breast disease diagnosis and treatment.</p></div><div><h3>Results</h3><p>Surgical robots equipped with AI algorithms provide real-time guidance to surgeons, analyze imaging data, and ensure precise procedures for better outcomes in breast cancer surgeries. AI-driven remote monitoring systems allow for close monitoring of patient health data, disease progression prediction, and personalized treatment recommendations.</p></div><div><h3>Conclusions</h3><p>The incorporation of AI technology into healthcare practices for breast diseases has revolutionized patient care delivery, enhancing outcomes, promoting patient engagement, and improving overall quality of care. These advancements offer personalized and tailored healthcare strategies that meet the unique needs of each patient, reshaping the healthcare industry.</p></div>","PeriodicalId":36921,"journal":{"name":"Medicina Clinica Practica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2603924924000454/pdfft?md5=9830d5236888bdab5c5e4dda219d8551&pid=1-s2.0-S2603924924000454-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in action: Improving breast disease management through surgical robotics and remote monitoring\",\"authors\":\"Marwan Al-Raeei\",\"doi\":\"10.1016/j.mcpsp.2024.100470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>This article aims to discuss the transformative impact of artificial intelligence (AI) on the identification and management of breast diseases, with a specific focus on breast cancer.</p></div><div><h3>Materials and methods</h3><p>Healthcare providers have integrated AI technologies such as surgical robots and remote monitoring systems to improve the accuracy and efficiency of breast disease diagnosis and treatment.</p></div><div><h3>Results</h3><p>Surgical robots equipped with AI algorithms provide real-time guidance to surgeons, analyze imaging data, and ensure precise procedures for better outcomes in breast cancer surgeries. AI-driven remote monitoring systems allow for close monitoring of patient health data, disease progression prediction, and personalized treatment recommendations.</p></div><div><h3>Conclusions</h3><p>The incorporation of AI technology into healthcare practices for breast diseases has revolutionized patient care delivery, enhancing outcomes, promoting patient engagement, and improving overall quality of care. These advancements offer personalized and tailored healthcare strategies that meet the unique needs of each patient, reshaping the healthcare industry.</p></div>\",\"PeriodicalId\":36921,\"journal\":{\"name\":\"Medicina Clinica Practica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2603924924000454/pdfft?md5=9830d5236888bdab5c5e4dda219d8551&pid=1-s2.0-S2603924924000454-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicina Clinica Practica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2603924924000454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicina Clinica Practica","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2603924924000454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

本文旨在讨论人工智能(AI)对乳腺疾病的识别和管理产生的变革性影响,特别关注乳腺癌。材料和方法医疗保健提供商已将手术机器人和远程监控系统等人工智能技术整合到乳腺疾病诊断和治疗中,以提高诊断和治疗的准确性和效率。人工智能驱动的远程监控系统可密切监测患者的健康数据、预测疾病进展并提供个性化治疗建议。结论将人工智能技术融入乳腺疾病的医疗保健实践中,为患者提供了革命性的医疗服务,提高了治疗效果,促进了患者参与,并改善了整体医疗质量。这些进步提供了个性化和量身定制的医疗保健策略,满足了每位患者的独特需求,重塑了医疗保健行业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial intelligence in action: Improving breast disease management through surgical robotics and remote monitoring

Artificial intelligence in action: Improving breast disease management through surgical robotics and remote monitoring

Objectives

This article aims to discuss the transformative impact of artificial intelligence (AI) on the identification and management of breast diseases, with a specific focus on breast cancer.

Materials and methods

Healthcare providers have integrated AI technologies such as surgical robots and remote monitoring systems to improve the accuracy and efficiency of breast disease diagnosis and treatment.

Results

Surgical robots equipped with AI algorithms provide real-time guidance to surgeons, analyze imaging data, and ensure precise procedures for better outcomes in breast cancer surgeries. AI-driven remote monitoring systems allow for close monitoring of patient health data, disease progression prediction, and personalized treatment recommendations.

Conclusions

The incorporation of AI technology into healthcare practices for breast diseases has revolutionized patient care delivery, enhancing outcomes, promoting patient engagement, and improving overall quality of care. These advancements offer personalized and tailored healthcare strategies that meet the unique needs of each patient, reshaping the healthcare industry.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Medicina Clinica Practica
Medicina Clinica Practica Medicine-Medicine (all)
CiteScore
0.60
自引率
0.00%
发文量
55
审稿时长
43 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信