人工智能,数字外科医生:解读人工智能在医疗领域的新兴应用 - 叙事评论》。

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Journal of Multidisciplinary Healthcare Pub Date : 2024-08-15 eCollection Date: 2024-01-01 DOI:10.2147/JMDH.S482757
Zifang Shang, Varun Chauhan, Kirti Devi, Sandip Patil
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引用次数: 0

摘要

背景:人工智能(AI)为医疗保健行业带来了变革潜力,为诊断、治疗规划和改善患者预后提供了创新解决方案。随着人工智能不断融入医疗保健系统,它有望在各个领域取得进步。本综述探讨了人工智能在医疗保健领域的各种应用,以及需要应对的挑战和局限性。目的是全面概述人工智能对医疗保健的影响,并确定需要进一步发展和关注的领域:本综述讨论了人工智能在医疗保健领域的广泛应用。在医学成像和诊断方面,人工智能提高了诊断过程的准确性和效率,有助于早期疾病检测。人工智能驱动的临床决策支持系统可协助医疗保健专业人员进行患者管理和决策。利用人工智能进行预测分析,可以预测病人的预后并识别潜在的健康风险。人工智能驱动的机器人系统彻底改变了外科手术程序,提高了精确度和效果。虚拟助理和聊天机器人加强了与患者的互动和支持,及时提供信息和帮助。在制药业,人工智能通过识别潜在的候选药物并预测其疗效,加快了药物的发现和开发。此外,人工智能还能提高医疗保健行业的行政效率和业务工作流程,简化流程并降低成本。人工智能驱动的远程监控和远程医疗解决方案扩大了医疗服务的可及性,特别是在服务不足的地区:尽管人工智能在医疗保健领域大有可为,但仍存在一些挑战。确保人工智能驱动的结果的可靠性和一致性至关重要。必须谨慎处理隐私和安全问题,尤其是在处理敏感的患者数据时。伦理方面的考虑,包括人工智能算法中的偏见和公平性,也需要加以解决,以防止意外后果的发生。克服这些挑战对于人工智能在医疗保健领域的伦理和成功整合至关重要:将人工智能融入医疗保健领域的工作进展迅速,为改善患者护理和提高运营效率带来了巨大好处。然而,要充分发挥人工智能在医疗保健领域的变革潜力,应对相关挑战至关重要。未来的工作重点应放在提高人工智能技术的可靠性、透明度和道德标准上,以确保它们能为全球卫生成果做出积极贡献。
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, the Digital Surgeon: Unravelling Its Emerging Footprint in Healthcare - The Narrative Review.

Background: Artificial Intelligence (AI) holds transformative potential for the healthcare industry, offering innovative solutions for diagnosis, treatment planning, and improving patient outcomes. As AI continues to be integrated into healthcare systems, it promises advancements across various domains. This review explores the diverse applications of AI in healthcare, along with the challenges and limitations that need to be addressed. The aim is to provide a comprehensive overview of AI's impact on healthcare and to identify areas for further development and focus.

Main applications: The review discusses the broad range of AI applications in healthcare. In medical imaging and diagnostics, AI enhances the accuracy and efficiency of diagnostic processes, aiding in early disease detection. AI-powered clinical decision support systems assist healthcare professionals in patient management and decision-making. Predictive analytics using AI enables the prediction of patient outcomes and identification of potential health risks. AI-driven robotic systems have revolutionized surgical procedures, improving precision and outcomes. Virtual assistants and chatbots enhance patient interaction and support, providing timely information and assistance. In the pharmaceutical industry, AI accelerates drug discovery and development by identifying potential drug candidates and predicting their efficacy. Additionally, AI improves administrative efficiency and operational workflows in healthcare, streamlining processes and reducing costs. AI-powered remote monitoring and telehealth solutions expand access to healthcare, particularly in underserved areas.

Challenges and limitations: Despite the significant promise of AI in healthcare, several challenges persist. Ensuring the reliability and consistency of AI-driven outcomes is crucial. Privacy and security concerns must be navigated carefully, particularly in handling sensitive patient data. Ethical considerations, including bias and fairness in AI algorithms, need to be addressed to prevent unintended consequences. Overcoming these challenges is critical for the ethical and successful integration of AI in healthcare.

Conclusion: The integration of AI into healthcare is advancing rapidly, offering substantial benefits in improving patient care and operational efficiency. However, addressing the associated challenges is essential to fully realize the transformative potential of AI in healthcare. Future efforts should focus on enhancing the reliability, transparency, and ethical standards of AI technologies to ensure they contribute positively to global health outcomes.

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来源期刊
Journal of Multidisciplinary Healthcare
Journal of Multidisciplinary Healthcare Nursing-General Nursing
CiteScore
4.60
自引率
3.00%
发文量
287
审稿时长
16 weeks
期刊介绍: The Journal of Multidisciplinary Healthcare (JMDH) aims to represent and publish research in healthcare areas delivered by practitioners of different disciplines. This includes studies and reviews conducted by multidisciplinary teams as well as research which evaluates or reports the results or conduct of such teams or healthcare processes in general. The journal covers a very wide range of areas and we welcome submissions from practitioners at all levels and from all over the world. Good healthcare is not bounded by person, place or time and the journal aims to reflect this. The JMDH is published as an open-access journal to allow this wide range of practical, patient relevant research to be immediately available to practitioners who can access and use it immediately upon publication.
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