The CE approval opens Europe for Cornerstone Robotics as the company expands its global surgical robotics business
Updated
May 29, 2026 4:20 AM
A tray of surgical tools. PHOTO: UNSPLASH
As surgical robotics companies expand beyond domestic markets, regulatory approvals are becoming a critical part of global growth. Companies are no longer competing only on hardware and clinical performance. They are also competing on their ability to enter tightly regulated healthcare systems and build long-term hospital partnerships.
Hong Kong-based Cornerstone Robotics is now moving further into that phase of expansion after its Sentire Endoscopic Surgical System received CE Mark certification under the European Union’s Medical Device Regulation framework.
The approval allows the company to commercialize the system across European markets for minimally invasive procedures in general surgery, gynecology, thoracic surgery and urology. For surgical robotics companies, regulatory approvals often represent more than product validation. They also determine market access, hospital adoption opportunities and long-term commercial scale.
Cornerstone Robotics has already been building clinical operations in the UK ahead of the approval. Since 2025, the company has worked with Portsmouth Hospitals University NHS Trust on clinical investigations involving the Sentire Surgical System. According to the company, the system has been used across procedures involving urology, gynecology and gastrointestinal surgery. The company says the clinical investigation helped generate real-world data to support physician training, research and future adoption efforts.
Alongside the regulatory approval, Cornerstone Robotics is also expanding its local operations in Europe. The company established a UK subsidiary in 2025 and has been developing training, clinical support and after-sales service capabilities for hospitals using the system.
That operational buildout reflects a larger challenge inside surgical robotics. Hospitals adopting robotic systems often require ongoing clinical training, technical support and workflow integration alongside the hardware itself.
Cornerstone Robotics says its strategy centers around vertically integrated development across engineering, software, imaging and robotics systems. The company argues that this structure gives it greater control over product development, supply chain management and long-term operational stability.
Professor Samuel Au, Founder and CEO of Cornerstone Robotics, said: "Receiving CE Certification marks a major milestone in Cornerstone Robotics' evolution from a technology innovator to a global clinical solutions provider. From our first clinical investigation in Portsmouth, UK, to achieving European regulatory approval, each step of the journey reflects our commitment to proprietary innovation, product excellence, and clinical value. Looking ahead, we will continue expanding into key global markets and partnering with leading medical institutions to bring high-quality surgical robotic solutions to more physicians and patients worldwide."
The CE approval also comes several months after the company completed an oversubscribed financing round of approximately US$200 million in November 2025.
The funding and regulatory expansion together signal how surgical robotics companies are increasingly entering a more commercially focused stage of growth. Beyond research and development, companies are now investing more heavily in regulatory approvals, hospital partnerships, physician training and international operational infrastructure as competition expands across global healthcare markets.
Keep Reading
HKU professor apologizes after PhD student’s AI-assisted paper cites fabricated sources.
Updated
January 8, 2026 6:33 PM
.jpg)
The University of Hong Kong in Pok Fu Lam, Hong Kong Island. PHOTO: ADOBE STOCK
It’s no surprise that artificial intelligence, while remarkably capable, can also go astray—spinning convincing but entirely fabricated narratives. From politics to academia, AI’s “hallucinations” have repeatedly shown how powerful technology can go off-script when left unchecked.
Take Grok-2, for instance. In July 2024, the chatbot misled users about ballot deadlines in several U.S. states, just days after President Joe Biden dropped his re-election bid against former President Donald Trump. A year earlier, a U.S. lawyer found himself in court for relying on ChatGPT to draft a legal brief—only to discover that the AI tool had invented entire cases, citations and judicial opinions. And now, the academic world has its own cautionary tale.
Recently, a journal paper from the Department of Social Work and Social Administration at the University of Hong Kong was found to contain fabricated citations—sources apparently created by AI. The paper, titled “Forty Years of Fertility Transition in Hong Kong,” analyzed the decline in Hong Kong’s fertility rate over the past four decades. Authored by doctoral student Yiming Bai, along with Yip Siu-fai, Vice Dean of the Faculty of Social Sciences and other university officials, the study identified falling marriage rates as a key driver behind the city’s shrinking birth rate. The authors recommended structural reforms to make Hong Kong’s social and work environment more family-friendly.
But the credibility of the paper came into question when inconsistencies surfaced among its references. Out of 61 cited works, some included DOI (Digital Object Identifier) links that led to dead ends, displaying “DOI Not Found.” Others claimed to originate from academic journals, yet searches yielded no such publications.
Speaking to HK01, Yip acknowledged that his student had used AI tools to organize the citations but failed to verify the accuracy of the generated references. “As the corresponding author, I bear responsibility”, Yip said, apologizing for the damage caused to the University of Hong Kong and the journal’s reputation. He clarified that the paper itself had undergone two rounds of verification and that its content was not fabricated—only the citations had been mishandled.
Yip has since contacted the journal’s editor, who accepted his explanation and agreed to re-upload a corrected version in the coming days. A formal notice addressing the issue will also be released. Yip said he would personally review each citation “piece by piece” to ensure no errors remain.
As for the student involved, Yip described her as a diligent and high-performing researcher who made an honest mistake in her first attempt at using AI for academic assistance. Rather than penalize her, Yip chose a more constructive approach, urging her to take a course on how to use AI tools responsibly in academic research.
Ultimately, in an age where generative AI can produce everything from essays to legal arguments, there are two lessons to take away from this episode. First, AI is a powerful assistant, but only that. The final judgment must always rest with us. No matter how seamless the output seems, cross-checking and verifying information remain essential. Second, as AI becomes integral to academic and professional life, institutions must equip students and employees with the skills to use it responsibly. Training and mentorship are no longer optional; they’re the foundation for using AI to enhance, not undermine, human work.
Because in this age of intelligent machines, staying relevant isn’t about replacing human judgment with AI, it’s about learning how to work alongside it.