Artificial Intelligence · Orthopaedics · Precision Surgery

Bringing
Intelligence
to Orthopedic 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.

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3+
Peer-Reviewed Studies
KL I–IV
Auto-Classification
DICOM
Native Ready
AI-Powered
Diagnostics · Deep Learning
Personalized
Pre-operative Planning
Predictive
Outcomes · 94.7% Acc.
ANATOMICAL INTELLIGENCE AI Active
AI Knee Joint Analysis FLE FME lJSW 5.8 mm mJSW 4.2 mm LDFA 88.1° MPTA 87.3° FTA 173.2° TT SALNUS · AI BIOMECHANICAL ANALYSIS AI MODEL v2.4 LDFA 88.1° · MPTA 87.3° · mJSW 4.2mm · FTA 173.2° KL-GRADE: II
KL-II
OA Grade
4.2mm
Joint Space
94.7%
Confidence
Deep Learning-Powered Orthopaedics
Patient-Specific Surgical Guides (PSI)
Knee OA AI Analysis
OJSM-Published 3D PSI Research
KVKK-Compliant Infrastructure
HL7 FHIR Hospital Integration
Preoperative 3D Planning
Deep Learning-Powered Orthopaedics
Patient-Specific Surgical Guides (PSI)
Knee OA AI Analysis
OJSM-Published 3D PSI Research
KVKK-Compliant Infrastructure
HL7 FHIR Hospital Integration
Preoperative 3D Planning
Services

Clinical Intelligence
Platform

Four clinical modules that standardise your preoperative planning process, support indication-setting, and assist with osteotomy calculations.

01

Cloud-Based
AI Platform

High-security web interface requiring no PACS integration. Upload radiological images in seconds, run AI-assisted analysis, plan procedures, and generate automated clinical reports.

Browser-based — zero installation, zero integration. SaaS · DICOM · Cloud · Web
02

Knee OA Grading
via Deep Learning

Our flagship model under active development with clinical collaborators. Objective KL-Grade classification and joint space measurement from standard AP knee radiographs using deep learning.

Under development with orthopaedic specialists. CNN · KL-Grade · JSW · Deep Learning
03

3D 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.

Patient-specific PSI; maximum axial alignment accuracy. 3D Print · HTO · DFO · PSI
04

Clinical & Academic
AI Collaborations

Dataset preparation, algorithm training and decision-support consultancy for medical imaging projects. Technical partnership in literature studies and research projects.

IP stays yours — revenue-sharing or licensing model. R&D · Akademik · HL7 · FHIR
Case Studies

Clinical Evidence

Clinical outcomes achieved by our models using real hospital data.

Published · OJSM 2024

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.

OJSM
Publication
PSI
3D-Printed
Knee
Reconstruction
Completed · Elbow

Elbow Defect — Patient-Specific Surgical Mold

Design and production of a 3D-printed patient-specific mold for a complex elbow bone defect case, maximizing intraoperative precision and anatomical conformity.

In Development · Software

Deformity Correction — Custom Surgical Planning Software

Development of a proprietary surgical planning software for complex lower-extremity deformity corrections, built in close collaboration with orthopaedic surgeons.

Scientific Foundation

From Academic Research
to Clinical Application

Every module in our products is directly informed by our research published in peer-reviewed journals.

Peer-Reviewed Publications & Ongoing Research
OJSM — The Orthopaedic Journal of Sports Medicine
3D-Printed Patient-Specific Guides for Knee Reconstruction: A Clinical Study
Salnus Research Group · 2024
✓ Published · Open Access
PROSPERO-Registered Systematic Review
Artificial Intelligence in Hip Osteoarthritis: Systematic Review and Meta-Analysis
Salnus Research Group · 2024–2025
⟳ Screening Phase
Systematic Review
Deep Learning-Based Automated Grading Tool for Knee Osteoarthritis
Salnus Research Group · 2025
⟳ Near Completion
Clinical & Academic Collaboration Models
01

Academic Partnership

AI for Knee OA grading, systematic meta-analyses, and deep learning model development. Technical contribution to joint publication processes and clinical validation studies.

02

Custom Orthopaedic Software

Deformity correction planning software and 3D surgical guide design developed with IP ownership for your clinical needs. Revenue-sharing model.

03

Technical Consultancy

Complex defect modeling via 3D printing (knee/elbow), DICOM-based AI infrastructure, and HL7/FHIR integration with your existing hospital systems.

Platform Infrastructure
Python / PyTorch Computer Vision Cloud Infrastructure Encrypted Data Transfer DICOM Support React / TypeScript PostgreSQL HL7 FHIR KVKK ✓ Clinical Decision Support Python / PyTorch Computer Vision Cloud Infrastructure Encrypted Data Transfer DICOM Support React / TypeScript PostgreSQL HL7 FHIR KVKK ✓ Clinical Decision Support
Request a Demo

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.

Your information is used only by the Salnus team · Protected under KVKK

or reach us directly info@salnus.com
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