26doc093 10.3205/26doc093 urn:nbn:de:0183-26doc0936 Meeting Abstract Or Or Kazim Hilmi KH

Privatpraxis für Augenheilkunde, Augenheilkunde, Hamburg

author German Medical Science GMS Publishing House

Düsseldorf

610 20260617 engl This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). M0651 093 38. Internationaler Kongress der Deutschen Ophthalmochirurgie (DOC) Refraktive Chirurgie II Nürnberg 20260618 20260620 FP 9.1 TextBackground: Refractive surgery has evolved into a highly technology-driven discipline in which automation, precision engineering, and artificial intelligence converge to optimize visual outcomes. Robotic principles – defined by computer-guided motion control, closed-loop feedback, and image-integrated automation – are increasingly embedded within contemporary laser and lens-based platforms. This review synthesizes the current state of the art of robotics in refractive surgery, delineating established clinical applications and emerging autonomous technologies. Methods: A structured narrative review of peer-reviewed literature and clinical outcome studies was conducted, focusing on robotic integration in corneal laser refractive surgery and lens-based refractive procedures. Particular emphasis was placed on femtosecond and excimer laser platforms, image-guided systems, AI-enhanced planning algorithms, and investigational microsurgical robotic devices. Results: Modern femtosecond laser systems and excimer laser platforms represent de facto robotic systems, incorporating micron-level depth control, high-frequency multidimensional eye tracking, automated centration, and closed-loop laser–tissue interaction. In small-incision lenticule extraction (SMILE), advanced high-speed femtosecond platforms enable highly automated intrastromal lenticule creation with improved procedural efficiency and enhanced biomechanical preservation. In lens-based refractive surgery, femtosecond laser-assisted cataract platforms employ image-guided robotic capsulotomy and lens fragmentation to enhance intraocular lens centration and improve refractive predictability. Contemporary systems further integrate topography-guided and wavefront-optimized treatment algorithms, combining AI-driven nomogram refinement with real-time ocular tracking and adaptive laser delivery. Beyond corneal ablation, investigational microsurgical robotic devices demonstrate submillimeter motion scaling, tremor filtration, and image-guided precision, illustrating the translational potential of robotic manipulators for future refractive applications. Conclusions: The current state of the art in refractive surgery is characterized by advanced laser automation functioning as highly specialized robotic systems augmented by AI-based planning and multimodal imaging. While fully autonomous refractive surgical robots have not yet entered routine clinical practice, ongoing integration of machine learning, real-time biomechanical modeling, and microsurgical robotics suggests a trajectory toward increasingly adaptive, semi-autonomous refractive platforms. 0 0 0 0