Papers

1

Total Citations

23

H-Index

1

About

Dr. Rodrigo Nicida Garcia is a pioneering surgeon and researcher at the forefront of integrating artificial intelligence into minimally invasive esophageal surgery. His work centers on enhancing surgical precision and patient safety, particularly through the application of AI models to complex anatomical challenges. In his landmark 2024 study, "Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy," Dr. Garcia demonstrated how deep learning can assist surgeons in identifying the delicate recurrent laryngeal nerve during robot-assisted esophagectomy—a procedure where nerve injury can lead to devastating vocal cord paralysis. This work, already garnering 23 citations, represents a significant step toward reducing complications in high-risk oncologic surgeries. Dr. Garcia’s contributions bridge the gap between advanced robotics and real-time intraoperative decision support, offering a template for future AI-assisted surgical navigation. His research not only advances the field of thoracic oncology but also underscores the transformative potential of machine learning in surgical education and practice. For students and researchers, Dr. Garcia exemplifies how cross-disciplinary innovation can directly improve patient outcomes.

Research Focus

Key Achievements

1
H-Index
1
Papers
23
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy
23 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago