Orthopedics · Shoulder arthroplasty pre-surgical planning and patient-specific guides

Precision AI Surgical Planning System (PAI-SPS)

Precision AI Pty Ltd

FDAProspective

An Australian shoulder planner that reached the FDA before it reached the literature. The one peer-reviewed study, 45 patients under eight surgeons in JSES International 2025, found the guides placed glenoid components within a mean 1.7 degrees of version and 1.4 degrees of inclination of the plan, and humeral components within 2.2 degrees of neck-shaft angle. Eight patients in 45 were outliers. The authors were Enovis staff, consultants and the company's co-founder, and there is no independent or outcome evidence. The catalogue lists it under the register name; Enovis sells the same software as ASTRA.

Performance Metrics

1.7°GLENOID VERSION, MEAN ABSOLUTE DEVIATIONPlanned vs achieved on post-operative CT; SD 1.5, range 0.1–5.7; 2 of 45 beyond 5° (JSES International 2025)
1.4°GLENOID INCLINATION, MEAN ABSOLUTE DEVIATIONSD 1.3, range 0.0–7.0; 1 of 45 beyond 5°; signed bias not different from zero
2.2°HUMERAL NECK-SHAFT ANGLE, MEAN ABSOLUTE DEVIATIONSD 1.4, range 0.1–5.4; 2 of 45 beyond 5°
2.9°HUMERAL VERSION, MEAN ABSOLUTE DEVIATIONMeasurable in 22 of 45 patients; signed bias +2.5° towards anteversion (p = 0.001); no outlier beyond 10°
1.3 mmHUMERAL RESECTION THICKNESS, MEAN ABSOLUTE DEVIATIONSD 1.2, range 0.0–5.1; 3 of 45 beyond 3 mm; resection 0.7 mm thinner than planned on average (p = 0.035)
8 / 45PATIENTS WITH AT LEAST ONE OUTLIER17.8%; 5 humeral, 3 glenoid; 89% of humeral and 93% of glenoid components within threshold
45PATIENTS ANALYSED46 enrolled, 8 surgeons, Australia; 24 anatomic (Mathys Affinis Short), 21 reverse (Enovis AltiVate Reverse); industry-authored
3FDA CLEARANCESK233992 (Aug 2024), K243955 (Jan 2025), K251558 (Jan 2026); no non-US register entry located

Clinical Evidence

The evidence base is one paper. Wigmore and colleagues (JSES International, August 2025) enrolled 46 adults undergoing anatomic or reverse total shoulder arthroplasty planned in the ASTRA software, which the paper names as previously Precision AI. One patient was excluded after the surgeon switched from a stemless to a stemmed humeral component during surgery, leaving 45: mean age 69, 24 men and 21 women, 31 with osteoarthritis and 14 with cuff-tear arthropathy, 20 with severe posterior glenoid wear (Walch B2, B3 or C). Eight fellowship-trained surgeons operated through a delto-pectoral approach. Ethics approval was granted prospectively by Monash University (study 37215). The endpoint was technical: the difference between the planned and the achieved component orientation, measured on a post-operative CT scan. Mean absolute deviation was 1.7 degrees for glenoid version (SD 1.5, range 0.1 to 5.7), 1.4 degrees for glenoid inclination (SD 1.3, range 0.0 to 7.0), 2.2 degrees for humeral neck-shaft angle (SD 1.4, range 0.1 to 5.4) and 1.3 mm for humeral resection thickness (SD 1.2, range 0.0 to 5.1). Humeral version could be measured in only 22 patients whose CT scans reached the epicondyles: mean absolute deviation 2.9 degrees, with a signed bias of 2.5 degrees towards anteversion that differed from zero (p = 0.001). Resection was 0.7 mm thinner than planned on average (p = 0.035). Using thresholds of 5 degrees for neck-shaft angle and glenoid angles, 10 degrees for version and 3 mm for resection, 8 patients (17.8 per cent) were outliers on at least one measure: 5 on the humeral side and 3 on the glenoid. The paper's summary figure is that 89 per cent of humeral and 93 per cent of glenoid components were placed within those limits. The comparisons the paper draws are against published figures for standard instruments (Rojas et al for the humerus, Hendel et al for the glenoid), not against a control arm in the same patients. Subgroups were exploratory and unpowered: only glenoid version differed, with larger deviation in men (p = 0.007). Variance did not differ between surgeons for the four measures tested. The 24 anatomic cases used the Mathys Affinis Short prosthesis, which is not on the FDA-cleared implant list; the 21 reverse cases used the Enovis AltiVate Reverse, which is. The authors describe their paper as the first in vivo accuracy study of a humeral patient-specific guide; that is their claim. The authors disclosed no funding or grants, but the acknowledgements thank Enovis ANZ for supporting the research and the limitations state that the software manufacturer provided support. Two authors are Enovis ANZ employees, one receives institutional funding from an Enovis ANZ subsidiary, three surgeons are Enovis ANZ consultants (one of them the senior author, who co-founded Precision AI and sat on its guide design team), and one surgeon is a paid consultant to Mathys, maker of the anatomic implant used. The original 510(k) summary (K233992, 2024) also refers to a post-market clinical case series of 35 patients in Australia, evaluated by post-operative CT under ethics approval. It reports no figures, and the entry does not treat it as the same cohort as the 2025 paper. The two later clearances rested on bench testing, software verification and usability validation; clinical testing was not required. Evidence grade: a prospectively approved single-arm accuracy cohort with a post-operative CT acquired for the study is graded prospective. It is not a randomised comparison and it measures placement, not patient outcome. AurisMark reasoning: three FDA clearances and one peer-reviewed study of this device earn one mark. A second mark is withheld because the only study is industry-authored with no independent replication, no functional or revision outcome, no published deployment scale, and no approval outside the United States could be located. Re-evaluate on an independent accuracy or outcome study or a non-US register entry.

StudyDesignnSensitivitySpecificityAUCPublished
Wigmore E, Twiggs JG, Taylor M, Al-Dirini RMA, Clitherow HDS, Soo BCL, Wright WJL, Kenny B
ProspectiveProspective
45n/a (placement-accuracy endpoint): glenoid version 1.7° ± 1.5, inclination 1.4° ± 1.3 mean absolute deviationn/a: humeral neck-shaft 2.2° ± 1.4, version 2.9° ± 2.1 (n=22), resection 1.3 ± 1.2 mm; 8 of 45 outliers—JSES International 2025;9(6):2127–2140 (PMID 41584532). Single-arm accuracy cohort, ethics approval granted prospectively (Monash HREC 37215); 46 enrolled, 45 analysed, 8 surgeons, anatomic and reverse arthroplasty planned in ASTRA (previously Precision AI) with 3D-printed humeral and glenoid guides; deviation measured on post-operative CT. Comparisons are against literature values for standard instruments, not a control arm. No funding disclosed; the manufacturer supported the study. Authors include two Enovis ANZ employees, three Enovis ANZ consultants (one the Precision AI co-founder) and a paid Mathys consultant.

Inside the algorithm

Editorial feature

How a CT scan becomes a shoulder plan and a printed guide.

Five stages — from raw input to verdict — drawn from manufacturer documentation and the public regulatory record.

  1. INGEST
  2. NORMALISE
  3. DETECT
  4. LOCALISE
  5. VERDICT

Stage 01 · INGEST

One pre-operative CT of the shoulder.

The input is the routine pre-operative CT of the affected shoulder, uploaded to the planning software. The scan needs to show the scapula and proximal humerus; if it reaches the elbow the software can also measure humeral version against the epicondyles. In the 2025 study only 22 of 45 scans went that far, so half the plans had no measured native version. Nothing else is acquired: no intraoperative imaging, no navigation.

Input

Pre-operative CT, DICOM

Inference

Server-side, before surgery

Inside the Auris+ Listing

Five more sections complete this device’s Auris+ Listing.

  • Decision Ledger

    Pro

    Pro unlocks a private, cross-vendor log of every case you read on this device — what the AI called, what you concluded, and a one-line reason if you overrode it. Ready for the EU AI Act's deployer logging obligations when they land in 2028.

  • Clinical Evidence Deep Dive

    Pro

    Pro unlocks the structured clinical-evidence summary — study count, target patient population, and a tabular accuracy-metrics view drawn from peer-reviewed sources.

  • Peer-Reviewed Publications

    Pro

    Pro unlocks the curated peer-reviewed publication list with PubMed cross-links — the citation backbone of every editorial verdict.

  • Post-Market & Regulatory Conditions

    Pro

    Pro unlocks the post-market surveillance summary, recall record, and the conditions of approval that bound real-world use.

  • AI Algorithm Version History

    Pro

    Pro unlocks the chronological record of algorithm version changes — what changed when, drawn from manufacturer changelogs and regulatory filings.

Upgrade to Pro →

Regulatory Approvals

FDA
Precision AI Surgical Planning System (PAI-SPS), 510(k) adding anatomical shape reconstruction (product code QHE), current clearance

K251558

Class II

Source ↗

Safety Record

No safety alerts or recalls on record.

No recall, enforcement action or MAUDE adverse-event report naming Precision AI, whether as device name, manufacturer, product description or recalling firm, was found in the openFDA device databases queried directly on 15 and 26 September 2026, including a recall search by the three K-numbers. The ASTRA trade name was not searched in MAUDE because it collides with unrelated products. The study did not report complications or adverse events; its only endpoint was placement accuracy. The clinical risk sits in the outliers: about one patient in six exceeded a placement threshold on at least one measure, and humeral version showed a consistent bias towards anteversion. The glenoid guide does not control reaming depth, and the study did not record intraoperative adjustments by the surgeon. The guides are cleared for a delto-pectoral approach only.

Intended Use & Indications

Per the FDA indications for use (K251558): the Precision AI Planning Software is intended to be used as a pre-surgical planner for simulation of surgical interventions for shoulder joint arthroplasty. It assists in the positioning of shoulder components by creating a 3D bone construct of the joint and allows the surgeon to visualize, measure, reconstruct, annotate and edit pre-surgical plan data, leading to a surgery report and a plan data file used as input to design the Precision AI Shoulder Guide and Biomodels. The Guides and Biomodels are patient-specific surgical instruments that assist intraoperative positioning of shoulder implant components in total and reverse shoulder arthroplasty by referencing anatomic landmarks identifiable on preoperative CT. The Glenoid Guide places the k-wire; the Humeral Guide places the humeral pins for humeral head resection. Single use only. Indicated for adult patients consented for shoulder joint arthroplasty; both guides suit a delto-pectoral approach only. Indicated for use with the listed Enovis (AltiVate Anatomic, AltiVate Anatomic Augmented, Turon, Reverse Shoulder Prosthesis, AltiVate Reverse, AltiVate Reverse Glenoid) and Lima (SMR and PRIMA) implant systems and their compatible components.