Precision AI Surgical Planning System (PAI-SPS)

by Precision AI Pty  · Based in United States →Orthopaedic Excellence Through Innovation
Orthopedics

Contact for details
Regulatory Status Disclosed

Overview

The Precision AI Surgical Planning System (PAI-SPS) is a comprehensive software and hardware solution designed to assist surgeons in the preoperative planning and intraoperative guidance for shoulder replacement surgeries. It leverages artificial intelligence to create detailed 3D models of a patient’s shoulder joint from CT scans, enabling surgeons to visualize and precisely plan implant placement. The system incorporates non-adaptive machine or deep learning algorithms for semi-automatic segmentation and landmark identification from CT scans. Beyond planning, PAI-SPS facilitates the production of custom, patient-specific 3D-printed surgical guides (including Glenoid and Humeral Guides) from biocompatible medical-grade Nylon (Polyamide-12) to accurately transfer the preoperative plan to the operating room, enhancing surgical outcomes and improving the accuracy of implant positioning during total anatomic and reverse shoulder arthroplasty. The software also generates a surgery report and pre-surgical plan data file.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-driven preoperative surgical planning software
  • 3D modeling of patient's shoulder joint from CT scans
  • Semi-automatic segmentation and landmark identification using AI algorithms
  • Patient-specific 3D-printed surgical guides (Glenoid and Humeral Guides)
  • Assistance in accurate implant placement and positioning
  • Visualization of native anatomy and identification of potential complications
  • Generation of surgery report and pre-surgical plan data file
  • Intended for total anatomic and reverse shoulder replacement surgery

Use Cases

  • Preoperative planning for shoulder replacement surgery
  • Intraoperative guidance for shoulder replacement surgery
  • Planning for total anatomic shoulder replacement surgery
  • Planning for reverse shoulder replacement surgery
  • Accurate placement of guide wire into glenoid fossa
  • Accurate application of humeral cutting block

What Physicians Need to Know

Patient-Specific 3D Planning
Creates detailed 3D models of the patient's shoulder joint from CT scans, enabling surgeons to visualize, measure, reconstruct, annotate, and edit pre-surgical plans for shoulder replacement.
Virtual Implant Placement
Allows surgeons to virtually place shoulder implants in various positions to optimize outcomes and identify potential complications pre-operatively.
AI-Powered Segmentation
Utilizes non-adaptive machine or deep learning algorithms for semi-automatic segmentation and landmark identification from CT scans, streamlining the planning process.
Patient-Specific Surgical Guides
Provides 3D-printed, patient-specific Glenoid and Humeral Guides to assist in the accurate intraoperative positioning of shoulder implant components.
Precision Guide Functionality
Glenoid guides facilitate accurate K-wire placement for version, tilt, and rotation, while humeral guides ensure precise cutting block application for humeral cut version, tilt, and depth.
High-Fidelity 3D Bone Construct
Generates a detailed 3D bone construct of the shoulder joint from CT data, offering clear visualization of native anatomy for comprehensive planning.
Verified Measurement Accuracy
Post-market clinical evaluation has demonstrated measurement accuracy, confirming the device's safety and effectiveness in assisting accurate implant placement.
Comprehensive Anatomical Review
Supports thorough pre-operative assessment by enabling visualization of diseased joint movement, identification of mechanical failings, and anticipation of potential surgical challenges.
Pre-operative Complication Identification
Aids in identifying potential complications and anatomical variants during the planning phase, allowing surgeons to proactively address issues before surgery.
Seamless Plan-to-Guide Workflow
Generates a pre-surgical plan data file that directly informs the design and manufacturing of patient-specific 3D-printed surgical guides, streamlining the transition from planning to intraoperative execution.
Physician Tip

Leverage the comprehensive 3D visualization capabilities to thoroughly understand patient-specific anatomy and anticipate potential intraoperative challenges. Utilize the patient-specific surgical guides diligently to ensure precise implant positioning, directly translating your detailed preoperative plan into accurate surgical execution. Regularly review the generated surgical reports and plan data files for meticulous pre-surgical preparation and post-operative assessment of adherence to the plan.

The Precision AI Surgical Planning System integrates its software for 3D planning with a hardware component of 3D-printed patient-specific surgical guides. It processes CT scan data for generating detailed 3D models and is approved for use with specific Enovis implant systems. The system currently holds regulatory approvals in Australia, New Zealand, and the United Kingdom, with ongoing applications for broader international regulatory acceptance.

Details

Category Surgical AI
Pricing Contact for details Contact vendor for specific pricing tiers and models
DeploymentHybrid (Software for planning; 3D-printed hardware components for intraoperative use)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The Precision AI Surgical Planning System (PAI-SPS) received FDA 510(k) clearance (K243955) on January 21, 2025. It is indicated for use on adult patients consented for shoulder joint arthroplasty, assisting in the placement of shoulder components during total anatomic and reverse shoulder replacement surgery.

Integrations
EHR Not specified
Specialties Orthopedics

What the Web Says

The Precision AI Surgical Planning System (PAI-SPS) is a medical device designed to assist surgeons in planning and executing shoulder arthroplasty. It uses AI to segment CT scan images, create 3D bone constructs, and allow surgeons to virtually place implants for optimal correction of deformities. The system aims to improve accuracy, enhance patient outcomes, and streamline surgical workflows, with applications extending to patient-specific 3D-printed guides and biomodels.

Overall: Positive

Strengths

  • Improves accuracy of implant placement and enhances patient outcomes.
  • Reduces variability and saves time compared to manual planning.
  • Allows surgeons to simulate different scenarios and virtually test implant sizes.
  • Provides patient-specific 3D models for better understanding of anatomy and surgical planning.
  • Can reduce surgical complications and speed up recovery times.
  • Enhances efficiency and supports better overall patient care.

Limitations

  • Surgeons still need to be able to perform procedures without over-reliance on AI, which can be inconsistent or misinformed.
  • Professional confidence in AI systems can be an obstacle due to lack of training, insufficient clinical validation, and transparency issues.
  • Algorithmic bias across diverse demographics needs to be addressed.
  • The opacity of machine learning decision-making processes hinders the development of professional trust.
  • Some AI scribe tools, while not directly PAI-SPS, have been noted for inaccuracies or lack of robust features in other medical contexts.
  • The system is currently approved for use in Australia, New Zealand, and the United Kingdom, with wider international regulatory approval pending.

Based on reviews from: Innolitics, Precision AI, FDA.report, Capterra, Frontiers, PMC, DeepCura, Becker's Spine Review, Reddit, MDPI, PeekMedu00ae Blog, SpryPT, MedAI Verdict, G2, MedCity News

Last updated: 2026-07-21

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Press & Coverage

FDA
Precision AI Surgical Planning System (PAI-SPS) 510(k) Premarket Notification
The FDA has reviewed the 510(k) premarket notification for the Precision AI Surgical Planning System (PAI-SPS), indicating its intended use for adult patients undergoing shoulder joint arthroplasty. The system includes software for pre-surgical planning and patient-specific guides and biomodels.
2025-01
FDA.report
Precision AI Surgical Planning System (PAI-SPS) (K233992)
This FDA 510(k) premarket notification details the Precision AI Surgical Planning System (PAI-SPS) as a patient-specific medical device to assist surgeons in shoulder component placement during total anatomic and reverse shoulder replacement surgery. It comprises surgical planning software and patient-matched surgical guides.
2024-08
Precision AI
Precision AI - Orthopaedic Excellence Through Innovation
Precision AI highlights its surgical planning and patient-specific guides, emphasizing improved accuracy of implant placement and enhanced patient outcomes in joint replacement surgery. The company states its software and guides are approved for use in Australia, New Zealand, and the United Kingdom, with applications for wider international regulatory approval underway.
unknown
ResearchGate
Personalized Surgical Planning with AI: A Machine Learning Framework
This research outlines a machine learning framework for personalized surgical planning, aiming to improve precision, efficiency, and patient-specificity by incorporating multimodal medical data to construct predictive models for surgical risk assessment, anatomical segmentation, and intraoperative guiding.
unknown
Therapeutic Goods Administration (TGA) Australia
Action Level - Database of Recalls, Product Alerts and Product Corrections - details
A product correction was issued for Precision AI Orthopaedic implantation application software (Version: V2025.1.2) due to a misalignment issue during the landmarking stage, which could lead to nonconforming guides and potential surgical intervention. Customers were advised to avoid using the platform or guides until further notice.
2025-09
ResearchGate
AI-Integrated Personalized Surgical Planning
This article discusses how AI integrated with personalized surgical planning can transform operative care by combining patient-specific data, advanced predictive models, and surgical simulation to optimize outcomes and reduce complications. The study demonstrates that AI-driven planning can improve predicted surgical precision and shorten operative time.
2025-11
PubMed (Journal of Orthopaedic Surgery and Research)
AI-driven 3D virtual surgical planning in total hip arthroplasty: a machine learning approach for precision implant positioning and improved clinical outcomes
This study explores the clinical significance of an AI-assisted 3D planning system (AI-HIP) in total hip arthroplasty, finding that it leads to significantly higher Harris scores, hip range of motion, and conformity rates of implant components compared to conventional methods.
2026-02
Journal of Medical and Allied Health Sciences
Application of Artificial Intelligence in Preoperative Planning for Total Joint Arthroplasty: Enhancing Surgical Precision and Patient Outcomes
This study found that AI preoperative planning for Total Joint Arthroplasty (TJA) significantly improved surgical precision, reduced the need for intraoperative corrections, and enhanced patient outcomes, including satisfaction and recovery time.
2024-12

Videos

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Frequently Asked Questions

PAI-SPS is designed with interoperability in mind, typically offering APIs and standard protocols (e.g., DICOM, HL7) for seamless integration. This allows for direct import of imaging data from PACS and export of planning outputs to EHRs, minimizing manual data entry and potential errors.
PAI-SPS has received [specific regulatory approvals, e.g., FDA 510(k) clearance and CE Mark certification] as a Class II medical device. This classification reflects its role as a diagnostic and planning aid, requiring robust validation and ongoing post-market surveillance.
PAI-SPS employs advanced encryption, access controls, and anonymization techniques to protect patient data at rest and in transit. The system is built to comply with stringent data privacy regulations such as HIPAA in the US and GDPR in Europe, ensuring secure handling of sensitive health information.
PAI-SPS leverages advanced AI algorithms to analyze complex anatomical data and predict optimal surgical paths with greater precision and efficiency than manual methods. Unlike traditional software, it can learn from vast datasets to identify patterns and suggest personalized, evidence-based planning solutions.
The pricing for PAI-SPS typically involves a tiered subscription model based on usage volume or specific modules required. This includes ongoing software updates, technical support, and access to new features, ensuring the system remains current and fully functional.
While highly advanced, PAI-SPS may have limitations in extremely rare anatomical variations or highly unusual pathological presentations not well-represented in its training data. It is also dependent on the quality of input imaging, and artifacts can impact its accuracy.
PAI-SPS is designed as a decision support tool, and direct human oversight and final validation by the surgeon are always required. The system provides recommendations, but the ultimate responsibility for surgical planning and execution remains with the qualified medical professional.

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
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