Bio

Marc Leon (also known as Hongliang Liang), M.D., Ph.D., previously served as Chief Surgeon, Associate Professor of Cardiovascular Surgery, and Director of the Division of Coronary Artery Surgery at Xijing Hospital in Xi'an, China. Currently, he is a Clinical Assistant Professor in the Department of Cardiothoracic Surgery at Stanford Hospital. Dr. Leon is a surgeon member of the Society of Thoracic Surgeons (STS), the International Society of Heart and Lung Transplantation (ISHLT), and the Chinese American Academy of Cardiology (CAAC). His clinical and research expertise includes the surgical management of cardiopulmonary failure, heart valve disease, and ischemic heart disease, along with the application of stem cell therapy for myocardial infarction. Additionally, Dr. Leon is actively engaged in exploring the application of artificial intelligence in the field of cardiovascular diseases.

Academic Appointments

Contact

  • Academic
    lianghl@stanford.edu
    University - Academic staff Department: Cardiothoracic Surgery - Adult Cardiac Surgery Position: Cinical Assistant Professor
    • 870 QUARRY RD
    • PALO ALTO,  California  94304 

Additional Info

All Publications

  • Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions. Journal of clinical medicine Leon, M., Ruaengsri, C., Pelletier, G., Bethencourt, D., Shibata, M., Flores, M. Q., Shudo, Y. 2024; 13 (21)

    Abstract

    Cardiovascular diseases remain the leading cause of morbidity and mortality globally, posing significant challenges to public health. The rapid evolution of artificial intelligence (AI), particularly with large language models such as ChatGPT, has introduced transformative possibilities in cardiovascular medicine. This review examines ChatGPT's broad applications in enhancing clinical decision-making-covering symptom analysis, risk assessment, and differential diagnosis; advancing medical education for both healthcare professionals and patients; and supporting research and academic communication. Key challenges associated with ChatGPT, including potential inaccuracies, ethical considerations, data privacy concerns, and inherent biases, are discussed. Future directions emphasize improving training data quality, developing specialized models, refining AI technology, and establishing regulatory frameworks to enhance ChatGPT's clinical utility and mitigate associated risks. As cardiovascular medicine embraces AI, ChatGPT stands out as a powerful tool with substantial potential to improve therapeutic outcomes, elevate care quality, and advance research innovation. Fully understanding and harnessing this potential is essential for the future of cardiovascular health.

    View details for DOI 10.3390/jcm13216543

    View details for PubMedID 39518681

  • Revolutionizing Donor Heart Procurement: Innovations and Future Directions for Enhanced Transplantation Outcomes. Journal of cardiovascular development and disease Leon, M. 2024; 11 (8)

    Abstract

    Heart failure persists as a critical public health challenge, with heart transplantation esteemed as the optimal treatment for patients with end-stage heart failure. However, the limited availability of donor hearts presents a major obstacle to meeting patient needs. In recent years, the most groundbreaking progress in heart transplantation has been in donor heart procurement, significantly expanding the donor pool and enhancing clinical outcomes. This review comprehensively examines these advancements, including the resurgence of heart donation after circulatory death and innovative recovery and evaluation technologies such as normothermic machine perfusion and thoraco-abdominal normothermic regional perfusion. Additionally, novel preservation methods, including controlled hypothermic preservation and hypothermic oxygenated perfusion, are evaluated. The review also explores the use of extended-criteria donors, post-cardiopulmonary resuscitation donors, and high-risk donors, all contributing to increased donor availability without compromising outcomes. Future directions, such as xenotransplantation, biomarkers, and artificial intelligence in donor heart evaluation and procurement, are discussed. These innovations promise to address current limitations and optimize donor heart utilization, ultimately enhancing transplantation success. By identifying recent advancements and proposing future research directions, this review aims to provide insights into advancing heart transplantation and improving patient outcomes.

    View details for DOI 10.3390/jcdd11080235

    View details for PubMedID 39195143

  • Optimizing Donor Heart Utilization Amidst Organ Shortage: Feasibility of Using Hearts Post-Long CPR. The Annals of thoracic surgery Leon, M., Shudo, Y. 2024

    View details for DOI 10.1016/j.athoracsur.2024.03.038

    View details for PubMedID 38621652

https://orcid.org/0000-0002-7532-9113