Humans' great and quick technological breakthroughs in the previous decade have undoubtedly influenced how surgical procedures are executed in the operating room. AI is becoming incredibly influential for surgical decision-making to help surgeons make better projections about the implications of surgical operations by considering different sources of data such as patient health conditions, disease natural history, patient values, and finance. Although the application of artificial intelligence in healthcare settings is rapidly increasing, its mainstream application in clinical practice remains limited. The use of machine learning algorithms in thoracic surgery is extensive, including different clinical stages. By leveraging techniques such as machine learning, computer vision, and robotics, AI may play a key role in diagnostic augmentation, operative management, pre-and post-surgical patient management, and upholding safety standards. AI, particularly in complex surgical procedures such as cardiothoracic surgery, may be a significant help to surgeons in executing more intricate surgeries with greater success, fewer complications, and ensuring patient safety, while also providing resources for robust research and better dissemination of knowledge. In this paper, we present an overview of AI applications in thoracic surgery and its related components, including contemporary projects and technology that use AI in cardiothoracic surgery and general care. We also discussed the future of AI and how high-tech operating rooms will use human-machine collaboration to improve performance and patient safety, as well as its future directions and limitations. It is vital for the surgeons to keep themselves acquainted with the latest technological advancement in AI order to grasp this technology and easily integrate it into clinical practice when it becomes accessible. This review is a great addition to literature, keeping practicing and aspiring surgeons up to date on the most recent advances in AI and cardiothoracic surgery.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422274 | PMC |
http://dx.doi.org/10.1016/j.amsu.2022.104251 | DOI Listing |
Int J Cardiol Congenit Heart Dis
September 2024
Department of Pediatrics, Division of Cardiology, Emory University School of Medicine, Children's Healthcare of Atlanta, Atlanta, GA, USA.
Background: The Norwood operation (NO) for infants with univentricular physiology has high interstage mortality. This study evaluated outcomes and risk factors for mortality following NO.
Methods: Retrospective single-center study of patients undergoing NO from 2010 to 2020.
Int J Cardiol Congenit Heart Dis
September 2024
Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton Hospital, London, United Kingdom.
[This corrects the article DOI: 10.1016/j.ijcchd.
View Article and Find Full Text PDFAnn Surg Open
December 2024
From the Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH.
J Endovasc Ther
December 2024
Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Background: Pulmonary embolism (PE) is an important cause of death and disability. Advances in catheter-directed therapies have led to the use of devices, such as the Inari FlowTriever and Penumbra Indigo system for aspiration thrombectomy (AT) for both massive and sub-massive PE. However, limited data exist on causes of procedural mortality.
View Article and Find Full Text PDFJ Surg Oncol
December 2024
Department of Paediatric Cardiothoracic Surgery, Children's Health Ireland, Dublin, Ireland.
Background And Objectives: Ewing sarcoma is the most common malignant chest wall tumour in the paediatric population. Following neoadjuvant chemotherapy regimens, the role and extent of surgical resection and reconstruction of the chest wall remain unclear.
Methods: A systematic review was conducted in accordance with PRISMA guidelines across four major literature databases.
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