Artificial Intelligence Applications for Thoracic Surgeons: "The Phenomenal Cosmic Powers of the Magic Lamp"

• Published in: Journal of clinical medicine Vol. 13; no. 13; p. 3750
• Main Authors: Cusumano, Giacomo, D'Arrigo, Stefano, Terminella, Alberto, Lococo, Filippo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 27-06-2024
• Subjects: Accuracy; Algorithms; Artificial intelligence; Chatbots; Clinical outcomes; Computer vision; Deep learning; Disease; Genetic engineering; Genomics; Histology; Large language models; Lung cancer; Machine learning; Neural networks; Patients; Pharmaceuticals; Radiomics; Surgeons; Thoracic surgery; Tumors; lung cancer; robotics; artificial intelligence; thoracic surgery; computer vision
• ISSN: 2077-0383; 2077-0383
• 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.