Department of Pharmacy Practice, College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Prince Mutib Ibn Abdullah Ibn Abdulaziz Rd, Riyadh, 14611, Saudi Arabia.
King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
BMC Med Educ. 2023 Sep 22;23(1):689. doi: 10.1186/s12909-023-04698-z.
Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advancements can revolutionize healthcare by integrating it into clinical practice. Reporting AI's role in clinical practice is crucial for successful implementation by equipping healthcare providers with essential knowledge and tools.
This review article provides a comprehensive and up-to-date overview of the current state of AI in clinical practice, including its potential applications in disease diagnosis, treatment recommendations, and patient engagement. It also discusses the associated challenges, covering ethical and legal considerations and the need for human expertise. By doing so, it enhances understanding of AI's significance in healthcare and supports healthcare organizations in effectively adopting AI technologies.
The current investigation analyzed the use of AI in the healthcare system with a comprehensive review of relevant indexed literature, such as PubMed/Medline, Scopus, and EMBASE, with no time constraints but limited to articles published in English. The focused question explores the impact of applying AI in healthcare settings and the potential outcomes of this application.
Integrating AI into healthcare holds excellent potential for improving disease diagnosis, treatment selection, and clinical laboratory testing. AI tools can leverage large datasets and identify patterns to surpass human performance in several healthcare aspects. AI offers increased accuracy, reduced costs, and time savings while minimizing human errors. It can revolutionize personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual health assistants, support mental health care, improve patient education, and influence patient-physician trust.
AI can be used to diagnose diseases, develop personalized treatment plans, and assist clinicians with decision-making. Rather than simply automating tasks, AI is about developing technologies that can enhance patient care across healthcare settings. However, challenges related to data privacy, bias, and the need for human expertise must be addressed for the responsible and effective implementation of AI in healthcare.
医疗体系对所有利益相关者来说都是复杂且具有挑战性的，但人工智能（AI）已经改变了许多领域，包括医疗保健领域，有潜力改善患者的护理和生活质量。快速发展的 AI 可以通过将其整合到临床实践中彻底改变医疗保健。报告 AI 在临床实践中的作用对于通过为医疗保健提供者提供必要的知识和工具来成功实施 AI 至关重要。
这篇综述文章全面而最新地概述了 AI 在临床实践中的现状，包括其在疾病诊断、治疗建议和患者参与方面的潜在应用。它还讨论了相关的挑战，涵盖了伦理和法律方面的考虑以及对人类专业知识的需求。通过这样做，它增强了对 AI 在医疗保健中的重要性的理解，并支持医疗保健组织有效地采用 AI 技术。
目前的研究通过对相关索引文献（如 PubMed/Medline、Scopus 和 EMBASE）的全面综述，分析了 AI 在医疗系统中的使用，没有时间限制，但仅限于发表在英语的文章。重点问题探讨了在医疗保健环境中应用 AI 的影响以及该应用的潜在结果。
将 AI 融入医疗保健具有改善疾病诊断、治疗选择和临床实验室检测的巨大潜力。AI 工具可以利用大型数据集并识别模式，从而在许多医疗保健方面超越人类的表现。AI 提供了更高的准确性、降低了成本和节省了时间，同时减少了人为错误。它可以彻底改变个性化医疗、优化药物剂量、增强人口健康管理、制定指南、提供虚拟健康助手、支持心理健康护理、改善患者教育并影响医患信任。
AI 可用于诊断疾病、制定个性化治疗计划并协助临床医生做出决策。AI 不仅仅是自动化任务，而是开发可以增强整个医疗保健环境中患者护理的技术。但是，必须解决与数据隐私、偏见和对人类专业知识的需求相关的挑战，以实现 AI 在医疗保健中的负责任和有效实施。
