Background: Artificial intelligence (AI) has emerged as a transformative technology in healthcare, with its integration into cardiac surgery offering significant advancements in precision, efficiency, and patient outcomes. However, a comprehensive understanding of AI’s applications, benefits, challenges, and future directions in cardiac surgery is needed to inform its safe and effective implementation. Methods: A systematic review was conducted following PRISMA guidelines. Literature searches were performed in PubMed, Scopus, Cochrane Library, Google Scholar, and Web of Science, covering publications from January 2000 to November 2024. Studies focusing on AI applications in cardiac surgery, including risk stratification, surgical planning, intraoperative guidance, and postoperative management, were included. Data extraction and quality assessment were conducted using standardized tools, and findings were synthesized narratively. Results: A total of 121 studies were included in this review. AI demonstrated superior predictive capabilities in risk stratification, with machine learning models outperforming traditional scoring systems in mortality and complication prediction. Robotic-assisted systems enhanced surgical precision and minimized trauma, while computer vision and augmented cognition improved intraoperative guidance. Postoperative AI applications showed potential in predicting complications, supporting patient monitoring, and reducing healthcare costs. However, challenges such as data quality, validation, ethical considerations, and integration into clinical workflows remain significant barriers to widespread adoption. Conclusions: AI has the potential to revolutionize cardiac surgery by enhancing decision making, surgical accuracy, and patient outcomes. Addressing limitations related to data quality, bias, validation, and regulatory frameworks is essential for its safe and effective implementation. Future research should focus on interdisciplinary collaboration, robust testing, and the development of ethical and transparent AI systems to ensure equitable and sustainable advancements in cardiac surgery.

Background: Postoperative air leak (PAL) is a frequent and potentially serious complication following thoracic surgery, characterized by the persistent escape of air from the lung into the pleural space. It is associated with extended hospitalizations, increased morbidity, and elevated healthcare costs. Understanding the mechanisms, risk factors, and effective management strategies for PAL is crucial in improving surgical outcomes. Aim: This review seeks to synthesize all known data concerning PAL, including its etiology, risk factors, diagnostic approaches, and the range of available treatments from conservative measures to surgical interventions, with a special focus on the use of autologous plasma. Materials and Methods: A comprehensive literature search of databases such as PubMed, Cochrane Library, and Google Scholar was conducted for studies and reviews published on PAL following thoracic surgery. The selection criteria aimed to include articles that provided insights into the incidence, mechanisms, risk assessment, diagnostic methods, and treatment options for PAL. Special attention was given to studies detailing the use of autologous plasma in managing this complication. Results: PAL is influenced by a variety of patient-related, surgical, and perioperative factors. Diagnosis primarily relies on clinical observation and imaging, with severity assessments guiding management decisions. Conservative treatments, including chest tube management and physiotherapy, serve as the initial approach, while persistent leaks may necessitate surgical intervention. Autologous plasma has emerged as a promising treatment, offering a novel mechanism for enhancing pleural healing and reducing air leak duration, although evidence is still evolving. Conclusions: Effective management of PAL requires a multifaceted approach tailored to the individual patient’s needs and the specifics of their condition. Beyond the traditional treatment approaches, innovative treatment modalities offer the potential to improve outcomes for patients experiencing PAL after thoracic surgery. Further research is needed to optimize treatment protocols and integrate new therapies into clinical practice.

Background: Pneumonectomy is a major surgical resection that still remains a high-risk operation. The current study aims to investigate perioperative risk factors for postoperative morbidity and early mortality after pneumonectomy for thoracic malignancies. Methods: We retrospectively analyzed all patients who underwent pneumonectomy for thoracic malignancies at our institution between 2014 and 2022. Complications were assessed up to 30 days after the operation. Mortality for any reason was recorded after 30 days and 90 days. Results: A total of 145 out of 169 patients undergoing pneumonectomy were included in this study. The postoperative 30-day complication rate was 41.4%. The 30-day-mortality was 8.3%, and 90-day-mortality 17.2%. The presence of cardiovascular comorbidities was a risk factor for major cardiopulmonary complications (54.2% vs. 13.2%, p < 0.01). Postoperative bronchus stump insufficiency (OR: 11.883, 95% CI: 1.288–109.591, p = 0.029) and American Society of Anesthesiologists (ASA) score 4 (OR: 3.023, 95% CI: 1.028–8.892, p = 0.044) were independent factors for early mortality. Conclusion: Pneumonectomy for thoracic malignancies remains a high-risk major lung resection with significant postoperative morbidity and mortality. Attention should be paid to the preoperative selection of patients.

Pulmonary metastasectomy for colorectal cancer represents a key component in modern oncological surgery, balancing precision resection with systemic disease management. Despite ongoing debate initiated by randomized trials, the surgical removal of lung metastases continues to offer significant survival benefits in well-selected patients. This review synthesizes the evolving landscape of pulmonary metastasectomy, integrating classical prognostic indicators, such as the disease-free interval (DFI) and carcinoembryonic antigen (CEA) levels, with emerging molecular insights including KRAS and BRAF mutations. The relationship between surgical radicality, systemic therapies, and personalized genetic profiling is redefining patient selection and optimizing outcomes. By dissecting recent evidence and ongoing controversies, we clarify the complex decision-making required to navigate this complex clinical terrain. Ultimately, the synergy of multidisciplinary care and precision surgery holds the promise of durable disease control and extended survival in colorectal cancer patients with lung metastases.

Background: Older patients with malignancies are more comorbid than younger ones and are usually undertreated only because of their age. The aim of this study is to investigate the safety of open anatomical lung resections for lung cancer in elderly patients. Methods: We retrospectively analyzed all patients who underwent lung resection for lung cancer in our institution and categorized them into two groups: the elderly group (≥70 years old) and the control (<70). Results: In total, 135 patients were included in the elderly group and 375 in the control. Elderly patients were more frequently diagnosed with squamous cell carcinoma (59.3% vs. 51.5%, p = 0.037), higher differentiated tumors (12.6% vs. 6.4%, p = 0.014), and at an earlier stage (stage I: 55.6% for elderly vs. 36.6%, p = 0.002). Elderly patients were more vulnerable to postoperative pneumonia (3.7% vs. 0.8%, p = 0.034), lung atelectasis (7.4% vs. 2.9%, p = 0.040), and pleural empyema (3.2% vs. 0%, p = 0.042), however, with no increased 30-day-mortality (5.2% for elderly vs. 2.7%, p = 0.168). Survival was comparable in both groups (43.4 vs. 45.3 months, p = 0.579). Conclusions: Elderly patients should not be excluded from open major lung resections as the survival benefit is not reduced in selected patients.

Objectives: About 90% of all non-small cell lung cancer (NSCLC) cases are associated with inhalative tabacco smoking. Half of patients continue smoking during lung cancer therapy. We examined the effects of postoperative smoking cessation on lung function, quality of life (QOL) and long-term survival. Materials and Methods: In total, 641 patients, who underwent lobectomy between 2012 and 2019, were identified from our single institutional data base. Postoperatively, patients that actively smoked at the time of operation were offered a structured ‘smoking cessation’ program. For this retrospective analysis, two patient groups (total n = 90) were selected by pair matching. Group A (n = 60) had no postoperative tobacco smoking. Group B (n = 30) involved postoperative continued smoking. Lung function (FEV1, DLCO) and QOL (‘SF-36′ questionnaire) were measured 12 months postoperatively. We compared long-term outcomes using Kaplan–Meier curves. Results: The mean age in group A was 62.6 ± 12.5 years and that in group B was 64.3 ± 9.7 years (p = 0.82); 64% and 62%, respectively, were male (p = 0.46). Preoperative smoking habits were similar (‘pack years’: group A, 47 ± 31; group B, 49 ± 27; p = 0.87). All relevant baseline characteristics we collected were similar (p > 0.05). One year after lobectomy, FEV1 was reduced by 15% in both groups (p = 0.98). Smoking cessation was significantly associated with improved DLCO (group A: 11 ± 16%; group B: −5 ± 14%; p <0.001) and QOL (vitality (VT): +10 vs. −10, p = 0.017; physical role function (RP): +8 vs. −17, p = 0.012; general health perceptions (GH): +12 vs. −5, p = 0.024). Patients who stopped smoking postoperatively had a significantly superior overall survival (median survival: 89.8 ± 6.8 [95% CI: 76.6–103.1] months vs. 73.9 ± 3.6 [95% CI: 66.9–80.9] months, p = 0.034; 3-year OS rate: 96.2% vs. 81.0%, p = 0.02; 5-year OS rate: 80.0% vs. 64.0%, p = 0.016). The hazard ratio (HR) was 2.31 [95% CI: 1.04–5.13] for postoperative smoking versus tobacco cessation. Conclusion: Postoperative smoking cessation is associated with improved quality of life and lung function testing. Notably, a significant increase in long-term survival rates among non-smoking NSCLC patients was observed. These findings could serve as motivation for patients to successfully complete a non-smoking program.