POCUS AI Guidance (3D)

Point-of-care ultrasound AI guidance rests on a compact pipeline: a probe-navigation vector steers the operator's hand toward the correct anatomical window, a real-time quality score coaches gain/depth/alignment until the frame is diagnostic, a view-recognition classifier confirms which standard view was captured, an interpretation model flags the protocol's key finding, and a positive finding escalates to a remote physician. This 3D companion keeps every formula from the 2D original — probe lerp speed scaled by operator experience, the same per-frame quality gain, the same nearest-neighbor view-match score — and renders them against real 3D anatomical target positions (RUQ, subxiphoid, lateral thorax) on a torso mesh, with the live ultrasound frame drawn as a texture on an actual 3D screen plane rather than a flat overlay.