Robotic-assisted coronary artery bypass grafting: current knowledge and future perspectives

Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting

The objective of this work was to predict the risk of mortality rate in patients with coronary artery bypass grafting (CABG) based on the risk prediction model of CABG using artificial intelligence (AI) and big data technologies. The clinical data of 2,364 patients undergoing CABG in our hospital from January 2019 to August 2021 were collected in this work. Based on AI and big data technology, business requirement analysis, system requirement analysis, complication prediction module, big data mining technology, and model building are carried out, respectively; the successful CABG risk prediction system includes case feature analysis service, risk warning service, and case retrieval service. The commonly used precision, recall, and F1-score were adopted to evaluate the quality of the gradient-boosted tree (GBT) model. The analysis proved that the GBT model was the best in terms of precision, F1-score, and area under the receiver operating characteristic curve (ROC). According to the CABG risk prediction model, 1,382 patients had a score of <0, 463 patients had a score of 0 ≤ score ≤ 2, 252 patients had a score of 2 < score ≤ 5, and 267 patients had a score of >5, which were stratified into four groups: A, B, C, and D. The actual number of in-hospital deaths was 25, and the in-hospital mortality rate was 1.05%. The mortality rate predicted by the CABG risk prediction model was 2.67 ± 1.82% (95% confidential interval (CI) (2.87-2.98)), which was higher than the actual value. The CABG risk prediction model showed the credible results only in group B with AUC = 0.763 > 0.7. In group B, 3 patients actually died, the actual mortality rate was 0.33%, and the predicted mortality rate was 0.96 ± 0.78 (95% CI (0.82-0.87)), which overestimated the mortality rate of patients in group B. It successfully constructed a CABG risk prediction model based on the AI and big data technologies, which would overestimate the mortality of patients with intermediate risk, and it is suitable for different types of heart diseases through continuous research and development and innovation, and provides clinical guidance value.

Robotics and Artificial Intelligence and Their Impact on the Diagnosis and Treatment of Cardiovascular Diseases

A new era has begun in the treatment of cardiovascular disorders as a direct result of the significant developments that have been made in robotics and artificial intelligence (AI). This abstract investigates the potential and impact that AI algorithms and robotic systems may have in the diagnosis and treatment of cardiovascular problems. The field of cardiovascular treatments has been completely transformed by robotically assisted surgeries, which have enabled minimally invasive procedures with increased patient safety and decreased recovery time. The incorporation of AI algorithms into cardiovascular care has made early abnormality identification, risk classification, and tailored treatment planning significantly easier. However, problems including patient safety, data privacy, and smooth integration into existing healthcare systems need to be solved. This abstract places an emphasis on the necessity of collaboration and responsible implementation in order to fully harness the promise of robotics and AI in cardiovascular care, which will ultimately lead to improved patient outcomes and an enhanced quality of life.

A comparison of total thoracoscopic versus robotic approach for cardiac myxoma resection: a single-center retrospective study

Advances in instrumentation and technique have facilitated minimally invasive surgeries for cardiac myxoma treatment. This study aims to compare the clinical outcomes between the thoracoscopic and robotic approaches for myxoma resection. Intraoperative data and postoperative data of 46 patients who underwent either thoracoscopic (n = 15) or robotic (n = 31) cardiac myxoma resection in our center between July 2013 and September 2022 were retrospectively compared. There was no in-hospital death in either group. Meanwhile, the operative time and cardiopulmonary bypass time were significantly shorter in the robotic group than in thoracoscopic group (P = 0.015 and P = 0.035, respectively). Furthermore, shorter ICU stays (P = 0.006), shorter postoperative mechanical ventilation time (P = 0.035) and less thoracic drainage (P = 0.040) were observed in the robotic group. However, the operating room costs and total hospital costs were both significantly lower in thoracoscopic group (P = 0.004 and P = 0.007, respectively). There was no significant difference between two groups regarding the incidence of postoperative complications (P > 0.05). Lastly, a faster return to exercise was noted in robotic group than in thoracoscopic group (Log-Rank χ² = 4.094, P = 0.043). Both approaches can be safe and feasible for myxoma resection. However, regardless of higher expenses, the robotic myxoma resection approach provides shorter operation time, less postoperative thoracic drainage, and faster recovery than total thoracoscopic technique.

Minimally Invasive Coronary Revascularisation Surgery: A Focused Review of the Available Literature

Minimally invasive coronary revascularisation was originally developed in the mid 1990s as minimally invasive direct coronary artery bypass (MIDCAB) grafting is a less invasive approach compared to conventional coronary artery bypass grafting (CABG) to address targets in the left anterior descending coronary artery (LAD). Since then, MIDCAB has evolved with the adoption of a robotic platform and the possibility to perform multivessel bypass procedures. Minimally invasive coronary revascularisation surgery also allows for a combination between the benefits of CABG and percutaneous coronary interventions for non-LAD lesions – a hybrid approach. Hybrid coronary revascularisation results in fewer blood transfusions, shorter hospital stay, decreased ventilation times and patients return to work sooner when compared to conventional CABG. This article reviews the available literature, describes standard approaches and considers topics, such as limited access procedures, indications and patient selection, diagnostics and imaging, techniques, anastomotic devices, hybrid coronary revascularisation and outcome analysis.