~/talk

From Lab to Clinic: Build Clinical AI Infrastructure, Not More Demos

Talkat DLD Health x BAIOSPHERE 2026 · on Friday, 2026-06-12· [large-language-models]
links:none on file
slides:none on file

Hospitals build a local API running models on two high-performance GPUs behind the firewall to power an agentic workflow that reads longitudinal records, retrieves evidence, calls tools, and returns sourced answers. The on‑prem server costs about €80,000 and pays back in roughly a year versus a simulated cloud bill of 200–800€/day cloud equivalent. The system processes roughly a Harry Potter book every 10 seconds, trading top‑end scale for privacy, speed, stability, and institutional control.

AI-written summary · about

  1. 0:00Clinical AI infrastructure intro
  2. 1:11Hospitals need local AI
  3. 3:00On-premise AI benefits
  4. 5:28Local models vs cloud
  5. 7:36Privacy with local infra
  6. 9:24Stability in healthcare AI
  7. 10:07Operational talent for AI
  8. 11:30Avoid vendor dependency
  9. 12:12Local AI foundation
  10. 12:55Future of hospital AI
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.