Papers
6
Total Citations
218
H-Index
4
About
Patrick Heger is a surgical researcher whose work spans the evaluation of minimally invasive techniques and the integration of artificial intelligence into the operating room. His major contributions include a landmark systematic review and network meta-analysis comparing open and minimally invasive adrenalectomy, which has garnered over 100 citations and helped clarify the evidence for surgical decision-making. Heger is also at the forefront of applying machine learning to surgery, co-authoring the HeiChole benchmark study—a highly cited work that validates algorithms for surgical workflow and skill analysis, paving the way for cognitive assistance systems that could enhance safety and training. More recently, he has focused on robotic liver surgery, evaluating the IWATE difficulty score in the first 100 cases of a new program, and investigating complications such as anastomotic leaks and hiatal hernias after esophagectomy. His research, with over 200 total citations, demonstrates a commitment to improving surgical outcomes through evidence synthesis and technological innovation, making him a notable figure in the evolution of modern surgery.
Research Focus
Key Achievements
Top Papers
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