公开(公告)号：US20250166617A1

公开(公告)日：2025-05-22

申请号：US18954493

申请日：2024-11-20

Applicant: Surgical Safety Technologies Inc.

Inventor： Filip GRANTCHAROV ,  Peter Dupont GRANTCHAROV ,  Po-Chieh LIU ,  Kee TANG ,  Amar S. CHAUDHRY ,  Zhifeng ZHANG

IPC: G10L15/16 ,  G10L15/30 ,  G10L25/57 ,  H04N19/103 ,  H04N19/136

Abstract: A local machine learning based recording and audio transcribing system is proposed that operates in real-time in parallel and time-synchronized with a operating theatre recorder system, modifying encoding of the operating theatre recorder system outputs for generation of the pre-processed recording files to be transmitted to a remote cloud-based processing backend using operating a centralized machine learning model data architecture across a network. By modifying the recording or the generation of the pre-processed recording files, the system can be tuned for providing increased signal resolution at more relevant portions of time or frame portions to improve the accuracy and predictive capability of a backend machine learning model that is configured for operation using the pre-processed recording files while adapting for practical network bandwidth and computing resource limitations in cloud-based implementations.