Papers
6
Total Citations
150
H-Index
5
About
Francesk Mulita is a surgeon-researcher whose work spans the rapidly evolving intersections of artificial intelligence, minimally invasive surgery, and advanced surgical technologies. His scholarship has made meaningful contributions to both clinical practice and emerging healthcare innovation, with his most-cited works reflecting a dual focus on AI applications in surgery and surgical technique optimization. Mulita's research on artificial intelligence in cardiac and thoracic surgery — garnering 52 and 41 citations respectively within a single year — positions him among the early academic voices shaping how machine learning, deep learning, and computer vision are integrated into operative and perioperative care. These reviews bridge theoretical innovation with real-world clinical applicability, making them valuable resources for the next generation of surgical practitioners. His participation in the MIRCAST study (42 citations) demonstrates a commitment to evidence-based surgical technique, rigorously comparing intracorporeal and extracorporeal anastomosis approaches in minimally invasive right colectomy. He has also advanced the discourse on robotic surgery in emergency settings and colorectal disorders, exploring frontiers where robotic platforms and stereotactic radiation therapies converge. Across his growing body of work, Mulita emerges as a clinician-scientist dedicated to translating technological advancement into improved patient outcomes.
Research Focus
Key Achievements
Top Papers
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