OsteoSight™ Hip

by Naitive Technologies  · Based in United Kingdom → — Transforming musculoskeletal care with AI
Endocrinology Orthopedics Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

OsteoSight™ is an AI-driven software developed by Naitive Technologies to transform orthopedic care by enabling the opportunistic assessment of bone mineral density (BMD) from routine X-rays. It is specifically designed to analyze standard anteroposterior (AP) radiographs of the hip or pelvis in patients aged 50 years and older. The tool identifies cases at risk for low BMD, which is a key indicator of osteoporosis, a condition often undiagnosed until a fracture occurs.

By seamlessly integrating into existing orthopedic and radiology workflows, OsteoSight™ provides a notification in the form of a report to aid interpreting physicians in identifying patients with possible low BMD at the femoral neck. This early identification prompts a clinical assessment of bone health, supporting earlier interventions, improved surgical planning, and ultimately enhancing patient outcomes. The technology has received FDA 510(k) clearance (K251408) and was designated an FDA Breakthrough Device in 2023, with its diagnostic accuracy, reproducibility, and robustness validated in peer-reviewed research. OsteoSight™ aims to address the urgent unmet clinical need in osteoporosis management, allowing orthopedic practices to take a proactive role and potentially expand their services.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Opportunistic assessment of bone mineral density (BMD) from routine X-rays
  • Analyzes hip or pelvis X-rays in patients 50 years and older
  • Identifies cases at risk for low BMD
  • Provides a notification/report to aid interpreting physician
  • Integrates into existing orthopedic and radiology workflows
  • Validated in peer-reviewed research for diagnostic accuracy and reproducibility
  • AI-driven software for musculoskeletal health
  • Aids in earlier diagnosis and intervention for osteoporosis
  • Excludes unsuitable cases including incorrect body parts, metalwork, and unacceptable femur positioning

Use Cases

  • Early identification of patients at risk for osteoporosis
  • Opportunistic bone health assessment during routine X-rays for other clinical concerns
  • Streamlining referrals for comprehensive bone health assessment
  • Supporting earlier interventions and improved surgical planning
  • Expanding services and capturing ancillary revenue for orthopedic practices
  • Improving patient outcomes by reducing osteoporotic fractures

What Physicians Need to Know

Evidence Base
OsteoSightu2122 Hip received FDA 510(k) clearance on September 11, 2025, and was designated an FDA Breakthrough Device in 2023. It is validated in peer-reviewed research, including a study published in *Osteoporosis International*. The technology is built on academic leadership from Oxford and Cambridge and developed with world-leading partners and front-line clinicians. It analyzes routine hip or pelvis X-rays in patients 50 years and older to identify risk for low Bone Mineral Density (BMD).
Clinical Validation Studies
A study published in *Osteoporosis International* demonstrated high diagnostic accuracy with an AUROC of 0.834 [0.789u20130.880] for identifying low BMD compared to DXA, the clinical gold standard. The tool showed consistent results across various clinical confounders and X-ray scanner hardware, with a specificity of 0.852 [0.783u20130.930] and sensitivity of 0.628 [0.538u20130.743]. Its pre-processing pipeline successfully excludes unsuitable cases like incorrect body parts or metalwork, enhancing reliability. Reproducibility has also been demonstrated. The tool is currently undergoing real-world clinical validation at the Royal National Orthopaedic Hospital (RNOH) UK NHS Trust.
Alert Fatigue Management
OsteoSightu2122 Hip provides a notification report only when a patient is identified as being at risk for low BMD; no report is generated if the estimated BMD is above a pre-specified threshold. The system's ability to exclude unsuitable images and provide clear, trusted results aims to streamline referral decisions and reduce unnecessary alerts.
Differential Diagnosis Support
The tool focuses specifically on identifying patients at risk for low BMD from routine X-rays. It provides a notification to prompt a clinical assessment of bone health, rather than offering broad differential diagnosis support.
Clinical Workflow Integration
OsteoSightu2122 Hip is designed to fit seamlessly into existing orthopedic workflows and clinical pathways by leveraging routine X-rays already being performed. It integrates with a host platform for secure transfer of DICOM images and metadata from clinical imaging systems. Reports for at-risk cases can be sent back to PACS for physician interpretation or viewed via a browser-based interface, aiming to streamline referrals and reduce administrative time.
Decision Audit Trail
While a specific 'decision audit trail' feature is not explicitly detailed, the system generates a report for identified at-risk cases, which serves as a documented output for clinical review and further action.
Physician Tip

OsteoSightu2122 Hip is an AI-enabled tool for opportunistic assessment of low BMD in patients 50 years and older using routine hip/pelvis X-rays. It provides a notification to aid in identifying at-risk patients, prompting further clinical assessment of bone health. It is crucial to remember that OsteoSightu2122 does not provide a diagnosis or treatment recommendation and should not be used to rule out low BMD. Physicians should continue to follow recommended screening and assessment practices, and consider additional evaluations like comprehensive fracture risk assessments in conjunction with the tool's insights. This technology aims to enable earlier intervention and improve surgical planning by identifying previously unnoticed patients with poor bone health.

OsteoSightu2122 Hip is built for seamless integration into existing clinical workflows. It operates by integrating with a host platform to securely transfer DICOM images and associated metadata from current clinical imaging systems. The generated reports for positive cases can be sent directly back to the Picture Archiving and Communication System (PACS) for physician interpretation or accessed through a browser-based interface.

Details

Category Clinical Decision Support & Reference, Radiology & Imaging AI
Pricing Contact for pricing
DeploymentCloud-based, with integration capabilities for clinical imaging systems (e.g., PACS) for secure DICOM image transfer.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

OsteoSight™ received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on September 2, 2025, under K251408. It was also designated an FDA Breakthrough Device in 2023.

Integrations
EHR Not specified
Specialties Endocrinology, Orthopedics, Radiology

What the Web Says

OsteoSightu2122 Hip, developed by Naitive Technologies, is an AI-enabled software that analyzes routine hip and pelvic X-rays to identify patients aged 50 and older at risk for low bone mineral density (BMD), a key indicator of osteoporosis. It provides a report to physicians to aid in clinical assessment and prompt earlier intervention. The device received FDA 510(k) clearance in September 2025 and was previously designated as an FDA Breakthrough Device in 2023.

Overall: Positive

Strengths

  • Opportunistically identifies patients at risk of low BMD from routine X-rays, potentially increasing early diagnosis rates.
  • Integrates seamlessly into existing orthopedic workflows.
  • High diagnostic accuracy, reproducibility, and robustness across various clinical confounders and X-ray hardware.
  • Aids in earlier intervention, improving surgical planning and patient outcomes.
  • Addresses the significant problem of underdiagnosed osteoporosis.
  • FDA 510(k) cleared and designated as a Breakthrough Device.

Limitations

  • Specificity of 0.852 and sensitivity of 0.628, while meeting pre-specified criteria, suggest there's room for improvement in identifying all true positives without increasing false positives.
  • Relatively new to the market (FDA clearance in September 2025), so long-term real-world data and extensive user reviews may still be emerging.

Based on reviews from: My Framer Site (Naitive Press Release), PMC (PubMed Central), ResearchGate, Femtech Insider, PubMed, FDA, Nyquist AI Blog

Last updated: 2026-07-18

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Videos

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Frequently Asked Questions

OsteoSightu2122 Hip is an AI-enabled software as a Medical Device (SaMD) that processes standard anteroposterior (AP) radiographs of the hip or pelvis in patients aged 50 years and older to identify those at risk for low bone mineral density (BMD). It is designed to seamlessly fit into existing orthopedic workflows, providing a report to aid the interpreting physician and prompt a clinical assessment of bone health.
OsteoSightu2122 has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) and earned designation as an FDA Breakthrough Device in 2023. It adheres to stringent data privacy regulations such as HIPAA for patient data protection in the US and GDPR for global healthcare companies, ensuring patient data security and confidentiality.
While accurate in identifying patients with low BMD, OsteoSightu2122 is not intended to replace DXA and does not diagnose osteopenia or osteoporosis. It may also have limitations in extremely rare or atypical anatomical variations not well-represented in its training data, and potential algorithmic bias is a general concern for AI in orthopedics if training data lacks diversity.
The clinical gold standard for assessing bone mineral density is Dual-energy X-ray absorptiometry (DXA) scan. Traditional methods for pre-operative planning also include manual templating using physical templates or digital templating software without advanced AI predictive analytics.
While specific pricing for OsteoSightu2122 Hip is not detailed, AI healthcare solutions often utilize flexible subscription models, including tiered access based on usage volume or features. Pricing can also be structured per-chart, as a percentage of collections, or through SaaS/seat-based licensing, with a focus on transparency and predictability for healthcare decision-makers.
OsteoSightu2122's AI models are trained on extensive, diverse datasets and validated through rigorous clinical studies, demonstrating diagnostic accuracy in identifying low BMD. The technology's performance has been tested for diagnostic accuracy, reproducibility, and robustness across different patient demographics and X-ray scanner hardware.
OsteoSightu2122 operates via integration with a host integration platform that facilitates the secure transfer of DICOM images and associated metadata from clinical imaging systems. It adheres to strict data protection regulations like HIPAA and GDPR, employing robust encryption and anonymization protocols to safeguard sensitive patient information.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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