Bringing
Intelligence
to Orthopaedic Surgery
Salnus is an AI ecosystem that supports orthopaedic surgeons in clinical decision-making through deep learning knee OA analysis, patient-specific surgical guides (PSI), and 3D preoperative planning modules.

From CT to Surgical Plan
CASE: Patellar Fracture with Multiligament Knee Injury
Clinical Intelligence
Platform
Cloud-native platform modules and professional services that standardise your preoperative planning, support surgical decision-making, and enable academic collaboration.
Cloud-Based AI Platform
Secure DICOM viewing, AI-assisted analysis, and clinical reporting in one browser-based platform. No PACS integration or software installation required. Currently in invite-only beta.
DICOM viewer + AI analysis + reporting, one platform.SaaS · DICOM · MPR · Cloud · Invite-OnlyAutomated Surgical Reporting
AI-generated clinical reports from radiological measurements (JSW, MPTA, LDFA, FTA). Standardised PDF output with grading assessment, alignment analysis, and surgical recommendations.
From DICOM to PDF report in seconds.PDF · Reporting · AutomatedOA Intelligence Suite
AI-powered knee osteoarthritis grading. DenseNet-121 architecture trained on OAI dataset. Binary OA detection: 84.1% accuracy. Five-class KL grading: 70.3% accuracy. 21+ experiments completed. 27MB model, browser-inference ready.
Knee + Hip OA analysis with deep learning.KL-Grade · JSW · OA · Deep Learning · DenseNet-121Geometric Analysis & Measurement
Anatomical angle calculation (MPTA, LDFA, HKA, FTA), landmark detection, and mechanical axis alignment analysis. Interactive landmark placement with AI-assisted detection for streamlined workflow.
Auto angles + landmarks + axis alignment.MPTA · LDFA · HKA · Semi-AutomatedAuto-Segmentation & 3D Modelling
Deep learning bone segmentation from knee CT with custom nnU-Net model trained on 167 patients. Four-bone segmentation: femur (0.976), tibia (0.979), patella (0.957), fibula (0.946). Mean Dice: 0.964. Automated CT-to-3D mesh pipeline for surgical visualisation and PSI design. Manuscript in preparation.
AI bone segmentation + 3D mesh export.nnU-Net · 4-Bone · CT · STL · 3D Mesh · 0.964 DiceMulti-Ligament Reconstruction Planning
AI-optimized tunnel angle calculation for multi-ligament knee reconstruction. Automated bone bridge analysis, dual-protocol comparison, and 3D tunnel visualization. From CT landmarks to complete surgical plan.
Optimized tunnel angles + bone bridge safety analysis.Multi-Ligament · Knee · Tunnel Optimization · 3D PlanningDeformity Analysis & Correction Planning
Varus/valgus angle analysis, osteotomy simulation, and mechanical axis correction planning based on Paley principles. End-to-end preoperative deformity assessment for HTO and DFO candidates.
Mechanical axis restoration with digital precision.Deformity · HTO · DFO · Paley3D Modelling & Surgical Guides (PSI)
3D reconstructions precisely matched to the patient's anatomy. Surgical guide design for HTO, DFO, and specific osteotomies, maximising postoperative accuracy. Clinically validated and published in OJSM.
Patient-specific PSI; maximum axial alignment accuracy.3D Print · HTO · DFO · PSITechnical Consultancy
Elite athlete surgical planning, complex deformity case analysis, and biomechanical modelling for challenging clinical scenarios. Expert-level support from biomedical engineers.
Case-by-case expert biomedical engineering support.Elite Athlete · Complex Cases · BiomechanicsCustom Orthopaedic Software
Bespoke clinical software tailored to your practice needs. From deformity correction algorithms to patient management tools, IP shared, revenue model negotiable.
Your clinical need, our engineering, shared IP.Bespoke · Shared IP · Revenue ShareClinical & Academic Partnerships
Clinical dataset curation, algorithm co-development, and joint publication support for medical imaging research. Collaborative AI model training with shared academic output.
IP sharing, revenue-sharing or licensing model.R&D · Academic · Dataset · IP SharingMedical AI Training & Workshops
Hands-on training for surgeons on digital preoperative planning, AI-assisted analysis tools, and 3D surgical guide design. Congress workshops and institutional training programmes available.
Upskill your team in AI-assisted surgical planning.Training · Workshop · Congress · EducationClinical Evidence
Clinical outcomes achieved by our models using real hospital data.
3D-Printed Patient-Specific Guides for Knee Reconstruction
Our study published in The Orthopaedic Journal of Sports Medicine validated the clinical accuracy of 3D-printed patient-specific instrumentation (PSI) for knee reconstruction procedures, demonstrating significant improvement in intraoperative precision compared to conventional techniques.
Knee Bone Segmentation AI, 0.964 Dice Score
Custom nnU-Net deep learning model trained on 167 annotated knee CT volumes achieving state-of-the-art four-bone segmentation accuracy. Femur (0.976), tibia (0.979), patella (0.957), fibula (0.946). First reported fibula Dice score for dedicated knee CT segmentation in the literature.
Hip Osteoarthritis AI Analysis
Deep learning-based hip osteoarthritis detection and grading model. Systematic review and meta-analysis of 25 studies completed; original model development in progress.
From Academic Research
to Clinical Application
Every module in our products is directly informed by our research published in peer-reviewed journals.
Active research portfolio, published, under review, and in development
Academic Partnership
AI for Knee OA grading, systematic meta-analyses, and deep learning model co-development. Clinical dataset curation and technical contribution to joint publication processes.
Custom Orthopaedic Software
Deformity correction planning software and 3D surgical guide design with shared IP ownership for your clinical needs. Revenue-sharing model.
Technical Consultancy
Elite athlete surgical planning, complex defect modeling via 3D printing, and DICOM-based AI infrastructure for your clinical workflow.
Let's Start
Together at Your Clinic
Reach out for demo, technical consultancy, or academic collaboration requests. Our team will get back to you within 24 hours.
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