Papers
4
Total Citations
40
H-Index
4
About
John B. Conneely is a leading surgical researcher whose work centers on the frontiers of robotic surgery, surgical training, and the application of artificial intelligence in hepatobiliary oncology. His major contributions bridge the Atlantic, critically analyzing disparities in robotic surgery adoption and training between the USA, UK, and Ireland—a study that has garnered 14 citations and sparked international dialogue on surgical education. Dr. Conneely is pioneering the integration of computer vision and AI with real-time indocyanine green administration to enhance the identification and delineation of colorectal liver metastases, a 2023 paper with 13 citations that promises to improve the specificity of fluorescence-guided surgery. His systematic review and network meta-analysis comparing open, laparoscopic, and robotic liver resection for metastatic colorectal cancer (9 citations) provides crucial evidence on the safety and effectiveness of minimally invasive approaches. Notably, he has developed a novel, low-cost, high-fidelity porcine model for simulation training in robotic parenchyma-preserving liver resection, addressing a critical gap in surgical education. With a citation count exceeding 40 across his most influential works, Dr. Conneely’s research is shaping the future of precision surgery and training.
Research Focus
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Top Papers
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