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人工智能在揭示医疗保健未来方面的潜力。

The Potential of Artificial Intelligence in Unveiling Healthcare's Future.

作者信息

Khanam Mousumi, Akther Sume, Mizan Iffath, Islam Fakhrul, Chowdhury Samsul, Ahsan Nayla Mehereen, Barua Deepa, Hasan Sk K

机构信息

Internal Medicine, Dhaka Medical College, Dhaka, BGD.

Internal Medicine, Institute of Applied Health Sciences, Chattogram, BGD.

出版信息

Cureus. 2024 Oct 16;16(10):e71625. doi: 10.7759/cureus.71625. eCollection 2024 Oct.

DOI:10.7759/cureus.71625
PMID:39553101
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11566355/
Abstract

This article examines the transformative potential of artificial intelligence (AI) in shaping the future of healthcare. It highlights AI's capacity to revolutionize various medical fields, including diagnostics, personalized treatment, drug discovery, telemedicine, and patient care management. Key areas explored include AI's roles in cancer screening, reproductive health, cardiology, outpatient care, laboratory diagnosis, language translation, neuroscience, robotic surgery, radiology, personal healthcare, patient engagement, AI-assisted rehabilitation with exoskeleton robots, and administrative efficiency. The article also addresses challenges to AI adoption, such as privacy concerns, ethical issues, cost barriers, and decision-making authority in patient care. By overcoming these challenges and building trust, AI is positioned to become a critical driver in advancing healthcare, improving outcomes, and meeting the future needs of patients and providers.

摘要

本文探讨了人工智能(AI)在塑造医疗保健未来方面的变革潜力。它强调了人工智能彻底改变各个医学领域的能力,包括诊断、个性化治疗、药物发现、远程医疗和患者护理管理。所探讨的关键领域包括人工智能在癌症筛查、生殖健康、心脏病学、门诊护理、实验室诊断、语言翻译、神经科学、机器人手术、放射学、个人医疗保健、患者参与、外骨骼机器人辅助康复以及行政效率方面的作用。文章还讨论了人工智能应用面临的挑战,如隐私问题、伦理问题、成本障碍以及患者护理中的决策权。通过克服这些挑战并建立信任,人工智能有望成为推动医疗保健发展、改善治疗效果以及满足患者和医疗服务提供者未来需求的关键驱动力。

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本文引用的文献

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Overcoming language barriers in pediatric care: a multilingual, AI-driven curriculum for global healthcare education.克服儿科护理中的语言障碍:面向全球医疗教育的多语言、人工智能驱动课程。
Front Public Health. 2024 Feb 22;12:1337395. doi: 10.3389/fpubh.2024.1337395. eCollection 2024.
2
Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives.利用人工智能促进有语言障碍和复杂医疗需求的住院患者公平护理:临床利益相关者的观点。
J Am Med Inform Assoc. 2024 Feb 16;31(3):611-621. doi: 10.1093/jamia/ocad224.
3
The artificial intelligence revolution in primary care: Challenges, dilemmas and opportunities.
人工智能在初级保健中的革命:挑战、困境与机遇。
Aten Primaria. 2024 Feb;56(2):102820. doi: 10.1016/j.aprim.2023.102820. Epub 2023 Dec 5.
4
Artificial intelligence in medical science: a review.人工智能在医学科学中的应用:综述。
Ir J Med Sci. 2024 Jun;193(3):1419-1429. doi: 10.1007/s11845-023-03570-9. Epub 2023 Nov 12.
5
A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare.医疗保健领域人工智能实施障碍的系统评价
Cureus. 2023 Oct 4;15(10):e46454. doi: 10.7759/cureus.46454. eCollection 2023 Oct.
6
Revolutionizing healthcare: the role of artificial intelligence in clinical practice.人工智能在临床实践中的应用:医疗保健的革命。
BMC Med Educ. 2023 Sep 22;23(1):689. doi: 10.1186/s12909-023-04698-z.
7
Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare.推进患者护理:人工智能如何改变医疗保健。
J Pers Med. 2023 Jul 31;13(8):1214. doi: 10.3390/jpm13081214.
8
Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions.社交机器人在医疗保健中的应用:特征、需求、技术解决方案综述。
Sensors (Basel). 2023 Jul 31;23(15):6820. doi: 10.3390/s23156820.
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