About

Ryan K. Orosco is a surgeon-scientist whose work sits at the dynamic intersection of robotic surgery, artificial intelligence, and head and neck oncology. His research has significantly advanced the field of surgical robotics, with particular focus on transoral robotic surgery (TORS), teleoperated systems, and machine learning applications in the operating room. Orosco has been a leading voice in evaluating and expanding next-generation single-port robotic platforms, demonstrating their superiority over traditional multiport systems for complex procedures such as tongue base resection and supraglottic laryngectomy through rigorous cadaveric and clinical studies. His highly cited systematic review on remote telesurgery in humans (107 citations) underscores his commitment to pushing the boundaries of what is surgically possible across distance, while his open-sourced reinforcement learning environments for surgical robotics (65 citations) have provided the broader research community with essential tools for developing AI-driven surgical automation. His 2024 systematic review on autonomous suturing signals continued engagement with the frontier of machine-guided surgery. Collectively, Orosco's body of work — spanning fluorescence imaging, motion compensation for time-delayed systems, and the historical evolution of robotic otolaryngology — reflects a researcher dedicated to making surgery smarter, safer, and more accessible.

Research Focus

Key Achievements

12
H-Index
26
Papers
595
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Remote telesurgery in humans: a systematic review
107 citations · 2022
📈 Most Prolific Year: 2019 (6 Papers)
🤝 Key Collaborators: 75
🏛 Institutions: UC San Diego Health System, University of California San Diego, Stanford University, Palo Alto University, University of New Mexico, University of San Diego

Top Papers

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    Robotic Head and Neck Surgery
    24 citations · 2018

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago