Max Robotics — Global Service Robot Directory + US Certification

About

Kimberly McFarland is a surgical researcher whose work bridges minimally invasive techniques, robotic surgery, and emerging applications of artificial intelligence in complex operative settings. Her research primarily focuses on improving surgical outcomes through advanced technology, with key contributions in the management of rare biliary pathologies and the integration of AI into spinal deformity surgery. In her 2024 case report on robotic management of primary cholecystoduodenal fistula, she demonstrated the feasibility of a minimally invasive approach for a condition traditionally treated with open resection, offering a safer alternative for patients with complex gallbladder fossa anatomy. Her 2022 comparative analysis of AI utilization in minimally invasive adult spinal deformity surgery further underscores her commitment to data-driven surgical innovation, exploring how machine learning can enhance preoperative planning and intraoperative decision-making. With citations accumulating in both general surgery and spine literature, McFarland’s work is gaining recognition for its practical, patient-centered focus. She represents a new generation of surgeon-scientists who are not only refining operative techniques but also systematically evaluating how digital tools can reshape surgical care.