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The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring

Marcus, Hani J; Ramirez, Pedro T; Khan, Danyal Z; Layard Horsfall, Hugo; Hanrahan, John G; Williams, Simon C; Beard, David J; ... IDEAL Robotics Colloquium; + view all (2024) The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring. Nature Medicine , 30 pp. 61-75. 10.1038/s41591-023-02732-7. Green open access

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Abstract

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot's development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots-providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations.

Type: Article
Title: The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41591-023-02732-7
Publisher version: http://dx.doi.org/10.1038/s41591-023-02732-7
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Life Sciences & Biomedicine, Biochemistry & Molecular Biology, Cell Biology, Medicine, Research & Experimental, Research & Experimental Medicine, HEALTH TECHNOLOGY-ASSESSMENT, LEARNING-CURVES, SURGERY, INNOVATION, CANCER, VALIDATION, SAFETY, TOOL
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/10188747
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