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Milliseconds save lives
Ultra-low latency networks will determine whether AI saves lives, scaling remote surgery, emergency response and training
Surgeons in one country operating on patients thousands of kilometers away. Ambulances functioning as mobile intensive care units, supported by real-time imaging and specialist guidance. Medical students training inside fully immersive virtual environments, propelling their careers forward. These scenarios would have been filed under“ science fiction” just one short decade ago, but now, thanks to AI, they are firmly within reach, and in some instances, already happening.
In September 2025, surgeons in China completed what was described as the world’ s first 5G-enabled remote robotic surgery performed at extreme altitude, with the operating surgeon located thousands of kilometers away from the patient. The Apollo Hospital in Bengaluru, India, has also introduced one of the world’ s first 5G-connected ambulances, fitted with onboard cameras, live diagnostic tools, and paramedic bodycams to allow remote guidance from specialists at the hospital during emergency situations. Meanwhile, Stanford Medicine in California has adopted new software that combines imaging from MRIs, CT scans and angiograms to create 3D models that physicians and patients can see and manipulate in real-time, furthering their understanding of certain medical conditions. The future has arrived.
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