Bao Chen@bao53

AegisOR is an ambient operating room audio-compliance platform engineered to streamline operative workflows, prevent surgical errors, and enforce compliance during operation. Before surgery begins, the platform loads specialty-specific surgical presets and primes AssemblyAI speech models with specialized medical lexicons, procedural terminology, and pharmacology references for pinpoint acoustic accuracy. During the critical pre-operative phase, AegisOR continuously captures perioperative audio to automatically verify Universal Protocol time-out checkpoints, ensuring patient identification, surgical site confirmation, procedure details, allergies, and consents are explicitly confirmed prior to the primary incision. Throughout the intra-operative period, the system actively monitors surgical team communication to identify verbal orders, verifying closed-loop read-backs and confirmations to mitigate dangerous breakdowns in high-stress surgical theaters. Upon completion, AegisOR verifies surgical sponge and needle count sign-outs, logs specimen labeling, and synthesizes time-stamped audio events into an initial post-operative report. All compliance data, time-stamps, and safety metrics are compiled into an export-ready audit trail compatible with electronic health record systems.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.