Shruti Gairola

Papers

Total Citations

H-Index

About

Shruti Gairola is a rising researcher at the intersection of artificial intelligence and surgical medicine, with a primary focus on perioperative planning and management in hepatobiliary surgery. Her most-cited work, "Artificial Intelligence in Perioperative Planning and Management of Liver Resection" (2024), has already garnered 6 citations, signaling early impact in a niche but critical field. Gairola’s major contribution lies in demonstrating how AI-driven models can optimize preoperative risk assessment, intraoperative decision-making, and postoperative recovery for complex liver resections—a procedure with high stakes for patient outcomes. By integrating machine learning with clinical workflows, she addresses key challenges such as predicting liver remnant function and minimizing complications. Her work bridges the gap between computational innovation and surgical precision, offering tools that could standardize care and improve survival rates. Though early in her career, Gairola’s research is notable for its translational potential, directly influencing how surgeons leverage AI to enhance safety and efficiency. For students and researchers, her profile exemplifies how emerging technologies can reshape traditional surgical paradigms, making her a compelling figure to watch in the evolving landscape of AI-assisted healthcare.