Clinical Focus

  • Thoracic and Cardiac Surgery

Academic Appointments

Professional Education

  • Medical Education: Dartmouth Geisel School of Medicine (1991) NH
  • Fellowship: Massachusetts General Hospital Cardiac Surgery Fellowship (2010) MA
  • Residency: Washington University General Surgery Residency (1998) MO
  • Fellowship: Hospital of the University of Pennsylvania Dept of CTS PA
  • Board Certification: American Board of Thoracic Surgery, Thoracic and Cardiac Surgery (2003)
  • Fellowship: Childrens Hospital of Philadelphia Surgery Fellowship (2001) PA

Contact

  • Academic
    gjpell@stanford.edu
    Department: Cardiothoracic Surgery - Adult Cardiac Surgery Position: Clinical Assistant Professor
  • Clinical (Primary)  Pediatric Cardiothoracic Surgery 725 Welch Rd Clinic C Palo Alto, CA 94304 (650) 725-3846 (fax)

Additional Clinical Info

Additional Info

  • Mail Code: 5407

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

  • An Exploration of Myths, Barriers and Strategies for Improving Diversity Among STS Members. The Annals of thoracic surgery Backhus, L. M., Kpodonu, J. n., Romano, J. C., Pelletier, G. n., Preventza, O. n., Cooke, D. T. 2019

    Abstract

    Diversity within health care organizations has many proven benefits, yet women and other groups remain under-represented in cardiothoracic surgery. We sought to explore responses from a Society of Thoracic Surgeons (STS) survey to identify myths and barriers for informing organizational strategies in the STS and cardiothoracic surgery. We performed a qualitative review of narrative survey responses within three domains surrounding diversity in cardiothoracic surgery: Myths, Barriers, and Strategies for improvement. Common diversity myths included: diversity as a pipeline problem (24%), diversity equated to exclusivity (21%), and diversity not supporting meritocracy (18%). The most frequent barrier code was perceived prejudice (22%). Suggested strategies towards improvement were: culture change prioritizing diversity (22%) and training the leaders (14%). Notably, 15% of response codes reflected the belief that disparities do not exist thus the issue should not be prioritized by the organization. The results do not necessarily reflect the beliefs of the majority of STS membership, nonetheless they provide important insight critical to guide any efforts towards eliminating disparities within cardiothoracic surgery and improving the care of our patients.

    View details for DOI 10.1016/j.athoracsur.2019.09.007

    View details for PubMedID 31593654