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Elea AI is chasing the healthcare productivity opportunity by targeting pathology labs’ legacy systems
VC funding into AI tools for healthcare was projected to hit $11 billion last year -- a headline figure that speaks to the widespread conviction that
The startup’s pitch to labs suggests that what could take them two to three weeks using conventional processes can be achieved in a matter of hours or days as the integrated system is able to stack up and compound productivity gains by supplanting things like the tedious back-and-forth that can surround manual typing up of reports, where human error and other workflow quirks can inject a lot of friction. Another co-founder, Dr. Sebastian Casu — the startup’s CMO — brings a clinical background, having spent more than a decade working in intensive care, anaesthesiology, and across emergency departments, as well as previously being a medical director for a large hospital chain. Healthcare is a very sensitive use case so any errors in these AI transcriptions — say, related to a biopsy that’s checking for cancerous tissue — could lead to serious consequences if there’s a mismatch between what a human doctor says and what the Elea hears and reports back to other decision makers in the patient care chain.
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