# Automatic, Opportunistic Surveillance of Hip Bone Fragility in X-ray Images

> **NIH NIH R44** · BIOSENSICS, LLC · 2024 · $50,000

## Abstract

PROJECT SUMMARY / ABSTRACT
 Approximately 1 in 3 women and 1 in 5 men over the age of 50 will suffer from a fragility fracture in their
remaining lifetime. Fragility hip fracture is one of the most serious and debilitating outcomes of osteoporosis with
a 20–40% mortality rate during the first year after the fracture. Hip fracture incidence rates are known to increase
exponentially with age in both women and men; and with the rising life expectancy throughout the globe, the
number of men and women who will be above the threshold of fragility fracture is expected to almost double,
with a prediction of 319 million cases by 2040. Thus, the number of fractures is predicted to double as well.
 In this Direct Phase II SBIR, BioSensics, in collaboration with orthopaedic, radiology, endocrinology and
biomechanics experts at Harvard Medical School, proposes to develop a cloud-based software solution for
automatic, opportunistic screening for hip fracture risk using plain X-ray images, called XFx. X-ray studies are
ubiquitous in all corners of the world, are inexpensive and provide high resolution studies that offer insight into
bone geometry, microstructure and density, at a low ionizing radiation dose. The proposed software solution will
include 1) a desktop application for uploading X-ray images and displaying and visualizing XFx results, and 2) a
secure cloud-based backend for receiving the uploaded X-ray images and performing the analysis. The software
architecture will support on-premise integration with a hospital cloud services (e.g., PACS systems) to enable
automatic, opportunistic screening for hip fracture risk using plain X-ray images. The solution will stand by in the
central imaging data server of hospitals or clinics, investigate each non-investigated X-ray image, and if
recognized to include a proximal femur, automatically execute the AI/ML-based classification scheme to identify
patients with osteoporosis or at high risk of hip fracture. If a patient is identified to have osteoporosis or a high
risk of fracture, the software will flag the patient. The clinician providing care for the patient will then be prompted
to consider ordering an evaluation of fragility fracture risk and receive a full report.
 This process is reimbursable under the Current Procedural Terminology (CPT) code 76499 “Unlisted
Diagnostic Radiographic Procedure.” This code is used when no other specific procedure code exists. The
existence of this CPT will support the initial marketing of the proposed solution. In Phase III, we will prepare an
application for a new Category III CPT code and submit if for consideration by the American Medical Association
(AMA) CPT Editorial Panel. Given the clinical need of the proposed solution, and recent approval of a CPT code
for radiology artificial intelligence (code 0691T) for automated analysis of existing imaging studies for vertebral
fracture and bone density assessment, our application for a new CPT code should not face any diff...

## Key facts

- **NIH application ID:** 10884793
- **Project number:** 3R44AG081031-02S1
- **Recipient organization:** BIOSENSICS, LLC
- **Principal Investigator:** ARA NAZARIAN
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $50,000
- **Award type:** 3
- **Project period:** 2023-06-01 → 2026-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10884793

## Citation

> US National Institutes of Health, RePORTER application 10884793, Automatic, Opportunistic Surveillance of Hip Bone Fragility in X-ray Images (3R44AG081031-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10884793. Licensed CC0.

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