Giuseppe Brisinda

Papers

Total Citations

H-Index

About

Giuseppe Brisinda is a leading researcher at the intersection of surgery and artificial intelligence, with a primary focus on acute appendicitis diagnosis and treatment. His most-cited work, a 2024 narrative review on AI in appendicitis care (17 citations), explores how machine learning can analyze vast clinical datasets to enhance diagnostic accuracy and personalize treatment decisions. Brisinda’s contributions demonstrate how AI-driven tools can reduce unnecessary surgeries, improve patient outcomes, and streamline clinical workflows—a critical advance in emergency surgery. Beyond this flagship paper, his research portfolio consistently emphasizes integrating computational methods into surgical practice, bridging the gap between data science and bedside care. With growing citation impact, Brisinda is recognized for pioneering evidence-based frameworks that leverage artificial intelligence to interpret clinical trial data and optimize therapeutic strategies. His work not only advances medical research but also equips clinicians with actionable insights, making him a key voice in the digital transformation of surgery. For students and researchers, Brisinda’s career exemplifies how AI can revolutionize traditional medical fields, offering a roadmap for future innovation in acute care.