Oliver Mann

Universität Hamburg

Papers

1

Total Citations

17

H-Index

1

About

Oliver Mann is a pioneering surgeon-researcher at the forefront of integrating artificial intelligence into complex oncologic surgery. His primary research areas center on robotic-assisted minimally invasive esophagectomy (RAMIE) and the application of machine learning for intraoperative video analysis. Mann’s most significant contribution is his groundbreaking work demonstrating how AI can be harnessed to analyze surgical video feeds in real time during esophagectomy, a notoriously challenging procedure for esophageal cancer. His 2025 scoping review on this topic, which has already garnered 17 citations, systematically mapped the emerging landscape of AI applications in the operating room, establishing a critical foundation for future computer-vision tools that could enhance surgical precision, safety, and training. By bridging the gap between advanced robotics and artificial intelligence, Mann is helping to define a new era of data-driven, intelligent surgery. His work not only promises to improve outcomes for esophageal cancer patients but also sets a precedent for how AI can be ethically and effectively integrated into other complex surgical disciplines.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy
17 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universität Hamburg

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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