Department of Clinical Science, American University of the Caribbean School of Medicine, Cupecoy, Sint Maarten, The Netherlands.
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, 500 Hofstra Blvd., Hempstead, NY 11549, USA.
Int J Environ Res Public Health. 2023 Jul 25;20(15):6438. doi: 10.3390/ijerph20156438.
Artificial intelligence (AI) and language models such as ChatGPT-4 (Generative Pretrained Transformer) have made tremendous advances recently and are rapidly transforming the landscape of medicine. Cardiology is among many of the specialties that utilize AI with the intention of improving patient care. Generative AI, with the use of its advanced machine learning algorithms, has the potential to diagnose heart disease and recommend management options suitable for the patient. This may lead to improved patient outcomes not only by recommending the best treatment plan but also by increasing physician efficiency. Language models could assist physicians with administrative tasks, allowing them to spend more time on patient care. However, there are several concerns with the use of AI and language models in the field of medicine. These technologies may not be the most up-to-date with the latest research and could provide outdated information, which may lead to an adverse event. Secondly, AI tools can be expensive, leading to increased healthcare costs and reduced accessibility to the general population. There is also concern about the loss of the human touch and empathy as AI becomes more mainstream. Healthcare professionals would need to be adequately trained to utilize these tools. While AI and language models have many beneficial traits, all healthcare providers need to be involved and aware of generative AI so as to assure its optimal use and mitigate any potential risks and challenges associated with its implementation. In this review, we discuss the various uses of language models in the field of cardiology.
人工智能 (AI) 和语言模型,如 ChatGPT-4(生成式预训练转换器),最近取得了巨大的进展,正在迅速改变医学领域的格局。心脏病学是许多利用 AI 意图改善患者护理的专业之一。生成式 AI 通过使用其先进的机器学习算法,有可能诊断心脏病并为患者推荐合适的管理方案。这不仅可以通过推荐最佳治疗方案来提高患者的治疗效果,还可以提高医生的工作效率。语言模型可以帮助医生完成行政任务,使他们有更多的时间用于患者护理。
然而,人工智能和语言模型在医学领域的应用存在一些担忧。这些技术可能无法跟上最新的研究进展,提供过时的信息,从而导致不良事件。其次,人工智能工具可能很昂贵,导致医疗保健成本增加,普通民众的可及性降低。随着人工智能的普及,人们还担心会失去人性化和同理心。医疗保健专业人员需要接受充分的培训才能使用这些工具。
虽然 AI 和语言模型具有许多有益的特点,但所有医疗保健提供者都需要参与并了解生成式 AI,以确保其得到最佳利用,并减轻与之相关的任何潜在风险和挑战。在这篇综述中,我们讨论了语言模型在心脏病学领域的各种应用。