K-numberK243955
Device namePrecision AI Surgical Planning System (PAI-SPS)
ApplicantPrecision AI Pty, Ltd.
Product codeQHE
Device classClass II
Decision dateJan 21, 2025
DecisionSubstantially Equivalent
Regulation888.3660
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

The Precision AI Surgical Planning System (PAI-SPS) is a software and hardware system for pre-surgical planning of shoulder joint arthroplasty (replacement). The software creates a 3D model of the patient's shoulder from CT scans to help surgeons visualize and plan implant positioning. Patient-specific surgical guides and biomodels are then manufactured via 3D printing to transfer the surgical plan to the operating room.

Technological characteristics

The subject device uses the same code base, software technology, and fundamental design verification/validation methods as the predicate device K233992. The main differences are the addition of new implant system components from Enovis and Lima manufacturers that surgeons can select during planning, and extension of hardware compatibility with these additional implant systems. Core functionality (visualization, measurement, reconstruction, annotation, editing) remains identical.

Test standards cited

Not stated in this summary. The document references FDA guidance documents on software submissions and design controls (21 CFR 820.30) but does not cite specific consensus standards such as ISO or ASTM.

Substantial equivalence argument

Substantial equivalence is established because the subject device has the same intended use (positioning shoulder components), same fundamental technology, same code base, and identical core functionality as the predicate. The additions of new implant system compatibility are treated as non-clinical extensions that do not raise different safety or effectiveness questions, supported by previous testing for accuracy, biocompatibility, sterility, and dimensional stability that apply to the subject device. Previous cadaver and bone model testing on the predicate are considered applicable.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

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