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and the compute required to build them. That phase is important, but it is not where medicine actually happens. Training is episodic, centralized, and surprisingly quite tolerant of delay. It can take place in controlled environments, far removed from the operating theatre, the emergency room, or the back of an ambulance. Inference, however, where AI is actually used out in the field, is continuous, distributed, and unforgiving. It’ s the moment when AI is called upon to interpret an image, flag an anomaly, recommend a course of action, or support a clinician in real time. In other words, inference is where decisions are made – and it’ s highly dependent on reliable, low-latency connectivity.
Inference depends on constant, realtime access to data, models, and supporting systems that are usually spread across multiple locations. A surgical robot doesn’ t carry all its intelligence locally. A connected ambulance relies on live streams of video and vital signs, and seamless access to medical records and wearable devices. Immersive training environments and remote mentoring systems require continuous synchronization between users, devices, and AI-driven analytics. In each case, delays compound quickly. In these environments, latency puts a limit on what is possible. When inference is slowed, guidance arrives late, feedback loses precision, and confidence in the system erodes. This is why the next phase of AIdriven healthcare will be defined less by how intelligent the models are, and more by how efficiently that intelligence can be delivered, everywhere it is needed, without delay.
Why latency matters
In other industries, latency is a question of optimization or productivity. In healthcare, however, it can literally make or break the function of a potentially life-saving tool. Different medical applications impose very different demands on the network. Take the use of AR / VR systems for remote surgical guidance as an example, these environments rely on precise synchronization between what a clinician sees, hears, and does. Once latency rises much beyond 20 milliseconds, visual misalignment and motion discomfort begin to appear. For a surgeon relying on augmented overlays or remote guidance,
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