Papers

4

Total Citations

16

H-Index

3

About

Mohammad Faraz Khan is a pioneering researcher in digital surgery and robotic-assisted surgical systems, with a focus on enhancing intraoperative decision-making and patient safety. His work bridges the gap between advanced instrumentation and clinical practice, emphasizing that true surgical success hinges on surgeon judgment rather than technology alone. Khan’s most-cited paper (2020, 7 citations) introduces peroperative personalised decision support for colon cancer surgery, arguing that computer-assisted analytics can optimize outcomes beyond robotic or non-robotic tools. He also investigates critical safety issues, such as gas leaks through laparoscopic energy devices and robotic instrumentation (2020, 4 citations), a study that gained urgency during the COVID-19 pandemic. His systematic review on robotic surgery governance structures (2025, 3 citations) provides a foundational framework for regulating rapidly evolving robotic platforms. Additionally, Khan’s clinical experience with a smart articulating digital device for transanal minimally invasive surgery (2023, 2 citations) demonstrates his commitment to innovation in constrained-access procedures. With a growing citation impact, Khan is shaping the future of digital surgery by advocating for data-driven, surgeon-centered approaches that improve both safety and efficacy in the operating room.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Peroperative personalised decision support and analytics for colon cancer surgery- Short report
7 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University College Dublin, Mater Misericordiae University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago