Cusumano Giacomo, D'Arrigo Stefano, Terminella Alberto, Lococo Filippo
General Thoracic Surgery Unit, Azienda Ospedaliero Universitaria Policlinico "G. Rodolico-San Marco", Via Santa Sofia 78, 95100 Catania, Italy.
Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95100 Catania, Italy.
J Clin Med. 2024 Jun 27;13(13):3750. doi: 10.3390/jcm13133750.
In the digital age, artificial intelligence (AI) is emerging as a transformative force in various sectors, including medicine. This article explores the potential of AI, which is akin to the magical genie of Aladdin's lamp, particularly within thoracic surgery and lung cancer management. It examines AI applications like machine learning and deep learning in achieving more precise diagnoses, preoperative risk assessment, and improved surgical outcomes. The challenges and advancements in AI integration, especially in computer vision and multi-modal models, are discussed alongside their impact on robotic surgery and operating room management. Despite its transformative potential, implementing AI in medicine faces challenges regarding data scarcity, interpretability issues, and ethical concerns. Collaboration between AI and medical communities is essential to address these challenges and unlock the full potential of AI in revolutionizing clinical practice. This article underscores the importance of further research and interdisciplinary collaboration to ensure the safe and effective deployment of AI in real-world clinical settings.
在数字时代,人工智能(AI)正在成为包括医学在内的各个领域的变革力量。本文探讨了人工智能的潜力,它类似于阿拉丁神灯中的神奇精灵,特别是在胸外科手术和肺癌管理领域。文章研究了机器学习和深度学习等人工智能应用在实现更精确诊断、术前风险评估以及改善手术结果方面的作用。还讨论了人工智能集成方面的挑战与进展,尤其是在计算机视觉和多模态模型方面,以及它们对机器人手术和手术室管理的影响。尽管人工智能具有变革潜力,但在医学中实施人工智能面临着数据稀缺、可解释性问题以及伦理问题等挑战。人工智能与医学领域之间的合作对于应对这些挑战以及释放人工智能在彻底改变临床实践方面的全部潜力至关重要。本文强调了进一步研究和跨学科合作的重要性,以确保人工智能在现实临床环境中的安全有效部署。