Mathur Piyush, Arshad Hajra, Grasfield Rachel, Khatib Reem, Aggarwal Avneep, Auron Moises, Khare Avneesh
Anesthesiology, Cleveland Clinic, Cleveland, USA.
Research, BrainXAI ReSearch, BrainX LLC., Cleveland, USA.
Cureus. 2024 Oct 27;16(10):e72501. doi: 10.7759/cureus.72501. eCollection 2024 Oct.
The rapid and nimble growth of artificial intelligence (AI) in healthcare has generated significant excitement among healthcare professionals. The most common question asked by clinicians about AI therefore is: "How do I get started?". We outline a strategic approach for clinicians to integrate AI into their knowledge base, focusing on goal setting, creating a learning roadmap, identifying essential resources, and establishing success metrics. We have outlined practical steps, including acquiring programming skills and utilizing low-code platforms, based on an individual's goal. Additionally, we present a resource toolkit that emphasizes continuous learning, collaboration, and mentorship to successfully adopt and implement AI in healthcare. We highlight the importance of understanding AI fundamentals and provide a roadmap to navigate a successful start.
人工智能(AI)在医疗保健领域的快速灵活发展,引起了医疗保健专业人员的极大兴趣。因此,临床医生关于AI最常问的问题是:“我该如何开始?”我们为临床医生概述了一种将AI整合到其知识库中的战略方法,重点是目标设定、创建学习路线图、确定基本资源以及建立成功指标。我们根据个人目标概述了实际步骤,包括获取编程技能和使用低代码平台。此外,我们提供了一个资源工具包,强调持续学习、协作和指导,以在医疗保健领域成功采用和实施AI。我们强调理解AI基础知识的重要性,并提供一条通往成功开端的路线图。