Artificial Intelligence in Thoracic Surgery

A special issue of Current Oncology (ISSN 1718-7729). This special issue belongs to the section "Thoracic Oncology".

Deadline for manuscript submissions: 15 June 2025 | Viewed by 3752

Special Issue Editor


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Guest Editor
Department of Thoracic Surgery, Institut Clínic Respiratori (ICR), Hospital Clinic of Barcelona, University of Barcelona, 08036 Barcelona, Spain
Interests: lung cancer; minimally invasive thoracic surgery (MITS); lung-sparing surgery; airway; robotic-assisted thoracic surgery (RATS)
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Special Issue Information

Dear Colleagues,

The eruption of artificial intelligence is changing the world in ways we never thought about. Those changes, inevitably, will be integrated into medical science and, subsequently, thoracic surgery. We have faced the implementation of new technologies, such as videothoracoscopy and robotics, witnessing the rise in new therapies for lung cancer. An emerging challenge will be to rapidly adopt big data analysis, machine learning and artificial intelligence in order to improve thoracic surgery practice. Our wholehearted belief is that the use of artificial intelligence in a comprehensive and ethical manner will allow us to provide personalized and better care to patients. We encourage researchers to submit and share their expertise on AI applications for thoracic surgery.

We look forward to receiving your contributions.

Dr. Marc Boada
Guest Editor

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Keywords

  • thoracic surgery
  • artificial intelligence
  • machine learning
  • lung cancer
  • robotic thoracic surgery
  • big data
  • data science

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Published Papers (1 paper)

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Review

13 pages, 852 KiB  
Review
Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends
by Mohamed Umair Aleem, Jibran Ahmad Khan, Asser Younes, Belal Nedal Sabbah, Waleed Saleh and Marcello Migliore
Curr. Oncol. 2024, 31(10), 6232-6244; https://doi.org/10.3390/curroncol31100464 - 17 Oct 2024
Cited by 2 | Viewed by 3054
Abstract
Artificial intelligence (AI) is increasingly becoming integral to medical practice, potentially enhancing outcomes in thoracic surgery. AI-driven models have shown significant accuracy in diagnosing non-small-cell lung cancer (NSCLC), predicting lymph node metastasis, and aiding in the efficient extraction of electronic medical record (EMR) [...] Read more.
Artificial intelligence (AI) is increasingly becoming integral to medical practice, potentially enhancing outcomes in thoracic surgery. AI-driven models have shown significant accuracy in diagnosing non-small-cell lung cancer (NSCLC), predicting lymph node metastasis, and aiding in the efficient extraction of electronic medical record (EMR) data. Moreover, AI applications in robotic-assisted thoracic surgery (RATS) and perioperative management reveal the potential to improve surgical precision, patient safety, and overall care efficiency. Despite these advancements, challenges such as data privacy, biases, and ethical concerns remain. This manuscript explores AI applications, particularly machine learning (ML) and natural language processing (NLP), in thoracic surgery, emphasizing their role in diagnosis and perioperative management. It also provides a comprehensive overview of the current state, benefits, and limitations of AI in thoracic surgery, highlighting future directions in the field. Full article
(This article belongs to the Special Issue Artificial Intelligence in Thoracic Surgery)
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