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Background And Objective: The adoption of robotic surgery for general thoracic surgery has rapidly progressed over the last two decades from its application in basic operations to complex pathologies. As such, the purpose of this narrative review is to highlight the collective experience of tackling complex thoracic surgical operations with minimally invasive robotic solutions.
Methods: Electronic searches of PubMed were conducted for each subtopic, using specific keywords and inclusion criteria. Once identified, the articles were screened through the abstract, introduction, results and conclusion for relevancy, and included based on a standard narrative review inclusion criteria.
Key Content And Findings: The role of the robotic approach has increased in thoracic outlet syndrome, chest wall resection, tracheobronchomalacia, airway and sleeve lung surgery, lobectomy after neoadjuvant therapy, complex segmentectomy, giant paraesophageal hernia repair, esophagectomy and esophageal enucleation, mediastinal masses and thymectomy and lung transplantation. Robotic surgery has several advantages when compared to video-assisted and open thoracoscopic surgery. These include better pain control and aesthetic outcome, improved handling of complex anatomy, enhanced access to lymph nodes, and faster recovery rates. Although it is associated with longer operative time, robotic surgery has comparable morbidity rates.
Conclusions: The robotic approach to complex thoracic problems is safe, effective, and associated with improved patient outcomes. To encourage wider adoption of robotic technology, increased training and expanded research efforts are essential, alongside improved worldwide access to this technology.
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http://dx.doi.org/10.21037/jtd-23-1570 | DOI Listing |
JMIR Hum Factors
September 2025
College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Background: The rapid advancement of next-generation sequencing has significantly expanded the landscape of precision medicine. However, health care professionals face increasing challenges in keeping pace with the growing body of oncological knowledge and integrating it effectively into clinical workflows. Precision oncology decision support (PODS) tools aim to assist clinicians in navigating this complexity, yet their current functionalities only partially address clinical needs.
View Article and Find Full Text PDFMultimed Man Cardiothorac Surg
September 2025
Department of Thoracic Surgery, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, UK
Three-dimensional (3D) guided robotic-assisted thoracic surgery is increasingly recognized as the pioneering approach for the most complex of pulmonary resections, offering high-definition 3D visualization, enhanced instrument augmentation and tremor-free tissue articulation. Compared with open thoracotomy, the robotic platform is associated with reduced peri-operative morbidity, shorter hospital admissions and faster patient recovery. However, sublobar resections such as segmentectomies remain anatomically and technically demanding, particularly in the context of resecting multiple segments, as showcased in this right S1 and S2 segmentectomy.
View Article and Find Full Text PDFMultimed Man Cardiothorac Surg
September 2025
Department of Cardiothoracic Surgery, St George’s Hospital, St George's University Hospitals NHS Foundation Trust, London, UK
Three-dimensional (3D) guided robotic-assisted thoracic surgery is increasingly recognized as a leading technique for undertaking the most complex pulmonary resections, providing high-definition 3D visualization, advanced instrument control and tremor-free tissue handling. Compared with open thoracotomy, the robotic platform offers reduced peri-operative complications, shorter hospital stays and faster patient recovery. Nevertheless, sublobar resections, such as segmentectomies, remain both anatomically intricate and technically challenging, particularly when resecting multiple segments, as in this left S1 and S2 segmentectomy.
View Article and Find Full Text PDFTurk Kardiyol Dern Ars
September 2025
Department of Cardiology, Muğla Sıtkı Koçman University, School of Medicine, Muğla, Türkiye.
Objective: Management of aortic stenosis (AS) requires integrating complex clinical, imaging, and risk stratification data. Large language models (LLMs) such as ChatGPT and Gemini AI have shown promise in healthcare, but their performance in valvular heart disease, particularly AS, has not been thoroughly assessed. This study systematically compared ChatGPT and Gemini AI in addressing guideline-based and clinical scenario questions related to AS.
View Article and Find Full Text PDFCardiovasc Ther
September 2025
Department of Cardiology, Tianjin University Chest Hospital, Tianjin, China.
Hypertension constitutes a major risk factor for cardiovascular diseases. Globally, the management and control of hypertension remain suboptimal. At present, pharmacological intervention is a critical strategy for patients with hypertension to achieve blood pressure regulation.
View Article and Find Full Text PDF