Sharan Wadhwani

Queen Elizabeth Hospital Birmingham

Papers

1

Total Citations

50

H-Index

1

About

Sharan Wadhwani is a leading voice at the intersection of artificial intelligence and hepatobiliary and pancreatic (HPB) surgery, a field where precision is paramount. His most-cited work, "Role of artificial intelligence in hepatobiliary and pancreatic surgery" (2021, 50 citations), synthesizes how AI-driven preoperative imaging and intra-operative technological advances have revolutionized the safety and outcomes of complex liver and pancreas procedures. Wadhwani’s research focuses on leveraging machine learning to enhance anatomical delineation and surgical planning, directly addressing the high-stakes challenges of HPB surgery. By demonstrating how AI can reduce postoperative complications and improve patient recovery, his contributions are shaping a new standard of care. His work is particularly notable for bridging the gap between computational innovation and clinical practice, offering a roadmap for surgeons navigating the intricate vascular and biliary structures of the liver and pancreas. For students and researchers, Wadhwani’s scholarship underscores the transformative potential of AI in surgery, highlighting how data-driven tools can augment human expertise. With a growing citation footprint, he is a key figure in the movement toward safer, smarter, and more personalized HPB surgical interventions.

Research Focus

Key Achievements

1
H-Index
1
Papers
50
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Role of artificial intelligence in hepatobiliary and pancreatic surgery
50 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Queen Elizabeth Hospital Birmingham

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago