对人工智能和人类智能的洞察——在肺癌筛查的前沿。

IF 2.1 3区 医学 Q3 RESPIRATORY SYSTEM Journal of thoracic disease Pub Date : 2024-11-30 Epub Date: 2024-11-21 DOI:10.21037/jtd-24-1077
Philippa Jane Temple Bowers, Frazer Michael Kirk
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引用次数: 0

摘要

本文探讨了人工智能(AI)在肺癌筛查项目中的潜力,特别是在计算机断层扫描(CT)扫描的解释方面。作者承认人工智能的好处,包括更快、更准确地分析扫描,但也提出了对临床医生信任、透明度以及由于扫描暴露减少而导致放射科医生技能下降的担忧。人工智能在医学领域的兴起和国家肺癌筛查项目的引入都在当代不断增加,未来两者之间的重叠和相互作用自然得到了保证。该论文强调了人类与人工智能协作的重要性,强调需要可解释的模型,并通过临床试验进行持续验证。探讨了目前试点研究中发现的有希望的结果和问题。考虑到疾病风险认知和患者互动中的人为因素等因素,与患者和临床医生建立信任也至关重要。作者得出结论,尽管人工智能提供了巨大的希望,但广泛采用取决于解决道德问题,并确保人工智能与医疗专业人员之间的平衡、协同关系。本报告旨在提供一个话题点,以激发围绕人工智能在医疗保健领域的对话,并为临床医生做好准备。
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Insights into artificial intelligence and our intelligence-on the frontier of lung cancer screening.

This paper explores the potential of artificial intelligence (AI) in lung cancer screening programs, particularly in the interpretation of computed tomography (CT) scans. The authors acknowledge the benefits of AI, including faster and potentially more accurate analysis of scans, but also raise concerns about clinician trust, transparency, and the deskilling of radiologists due to decreased scan exposure. The rise of AI in medicine and the introduction of national lung cancer screening programs are both increasing contemporarily and naturally the overlap and interplay between the two in the future is ensured. The paper highlights the importance of human-AI collaboration, emphasizing the need for interpretable models and ongoing validation through clinical trials. The promising results and problems uncovered the current pilot studies is explored. Building trust with patients and clinicians is also crucial, considering factors like disease risk perception and the human element of patient interaction. The authors conclude that while AI offers significant promise, widespread adoption hinges on addressing ethical considerations and ensuring a balanced, synergistic relationship between AI and medical professionals. This report aims to provide a talking point to inspire conversations around, and prepare clinicians for the rapidly approaching frontier that is AI in healthcare.

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来源期刊
Journal of thoracic disease
Journal of thoracic disease RESPIRATORY SYSTEM-
CiteScore
4.60
自引率
4.00%
发文量
254
期刊介绍: The Journal of Thoracic Disease (JTD, J Thorac Dis, pISSN: 2072-1439; eISSN: 2077-6624) was founded in Dec 2009, and indexed in PubMed in Dec 2011 and Science Citation Index SCI in Feb 2013. It is published quarterly (Dec 2009- Dec 2011), bimonthly (Jan 2012 - Dec 2013), monthly (Jan. 2014-) and openly distributed worldwide. JTD received its impact factor of 2.365 for the year 2016. JTD publishes manuscripts that describe new findings and provide current, practical information on the diagnosis and treatment of conditions related to thoracic disease. All the submission and reviewing are conducted electronically so that rapid review is assured.
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