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Requirement of artificial intelligence technology awareness for thoracic surgeons
The Cardiothoracic Surgeon ( IF 0.5 ) Pub Date : 2021-07-03 , DOI: 10.1186/s43057-021-00053-4
Anshuman Darbari 1 , Krishan Kumar 2 , Shubhankar Darbari 3 , Prashant L Patil 1
Affiliation  

We have recently witnessed incredible interest in computer-based, internet web-dependent mechanisms and artificial intelligence (AI)-dependent technique emergence in our day-to-day lives. In the recent era of COVID-19 pandemic, this nonhuman, machine-based technology has gained a lot of momentum. The supercomputers and robotics with AI technology have shown the potential to equal or even surpass human experts’ accuracy in some tasks in the future. Artificial intelligence (AI) is prompting massive data interweaving with elements from many digital sources such as medical imaging sorting, electronic health records, and transforming healthcare delivery. But in thoracic surgical and our counterpart pulmonary medical field, AI’s main applications are still for interpretation of thoracic imaging, lung histopathological slide evaluation, physiological data interpretation, and biosignal testing only. The query arises whether AI-enabled technology-based or autonomous robots could ever do or provide better thoracic surgical procedures than current surgeons but it seems like an impossibility now. This review article aims to provide information pertinent to the use of AI to thoracic surgical specialists. In this review article, we described AI and related terminologies, current utilisation, challenges, potential, and current need for awareness of this technology.

中文翻译:


胸外科医生人工智能技术意识要求



最近,我们目睹了人们对基于计算机、依赖互联网的机制和依赖人工智能 (AI) 的技术在日常生活中的出现产生了令人难以置信的兴趣。在最近的 COVID-19 大流行时代,这种非人类、基于机器的技术获得了巨大的发展动力。具有人工智能技术的超级计算机和机器人已经显示出未来在某些任务中达到甚至超过人类专家准确性的潜力。人工智能 (AI) 正在促使海量数据与来自许多数字源的元素交织在一起,例如医学影像分类、电子健康记录和医疗保健服务转型。但在胸外科和我们对应的肺部医学领域,人工智能的主要应用仍然只是胸部影像的判读、肺组织病理切片评估、生理数据判读和生物信号测试。人们质疑基于人工智能的技术或自主机器人是否能够比当前的外科医生完成或提供更好的胸外科手术,但现在看来这是不可能的。这篇综述文章旨在为胸外科专家提供有关使用人工智能的信息。在这篇评论文章中,我们描述了人工智能和相关术语、当前的利用、挑战、潜力以及当前对该技术的认识需求。
更新日期:2021-07-04
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