K-numberK243703
Device nameTechLive
ApplicantDeepHealth, Inc.
Product codeLLZ
Device classClass II
Decision dateJun 5, 2025
DecisionSubstantially Equivalent
Regulation892.2050
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

TechLive is a software application that enables remote access to medical imaging devices (ultrasound, MRI, CT, PET/CT) for real-time image acquisition, assistance, review, monitoring, and training of healthcare personnel. It provides secure remote control and collaboration features via audio/video connection but is explicitly not intended for diagnostic use.

Technological characteristics

TechLive uses WebRTC over HTTPS for connection protocols compared to the predicate's HTTPS over TCP. It supports a subset of radiological devices (excluding radiotherapeutic devices) versus the predicate's broader support. Communication relies on USB cameras for live video and audio without a chat function, versus the predicate's chat capability. Both provide remote image acquisition with vendor-neutral functionality across multiple imaging modalities.

Test standards cited

ISO 14971:2019 (Risk Management), IEC 62304:2015 (Medical Device Software Life Cycles), IEC 82304-1 (Health Software General Requirements), FDA Guidance on Device Software Functions (June 2023), and FDA Guidance on Cybersecurity in Medical Devices (September 2023).

Substantial equivalence argument

TechLive and the predicate (Syngo Virtual Cockpit) share identical indications for use, intended users (remote operators and IT administrators), and intended environment (healthcare facilities). Both are vendor-neutral software for remote imaging support and standardization. The minor differences—WebRTC versus HTTPS/TCP protocols, exclusion of radiotherapeutic devices, and communication tool variations—do not raise new safety or effectiveness questions because verification and validation testing demonstrated the subject device meets all performance specifications and user needs equivalent to the predicate.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

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