Validated at scale.
Peer-reviewed.
Rho's performance has been reported in peer-reviewed studies in radiology and bone health journals, including an independent external validation and prospective studies.
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The osteoporosis care gap, how Rho works, and real-world results from clinical deployments, in one document.
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What the studies show.
Paired X-ray and DXA studies used to develop Rho.1
AUROC across four independent datasets,1,2 with similar results by sex, body part, race and technical parameters,1,3 and in rural and urban patients.2
DXAs prompted by Rho found low bone density more often than DXAs arranged through usual care.4
Increase in initial DXAs after radiologists began reporting Rho findings.4
Of Rho-positive findings included in radiologist reports in a prospective study.5
Of 51 primary care providers who answered the survey found Rho beneficial in patient care.5
- 1 Bilbily et al., JACR, 2024 ↗: validation in three independent test sets, 6,100 patients
- 2 Auriat et al., JBMR Plus, 2026 ↗: a retrospective external validation at one academic hospital, 4,878 patients
- 3 FDA De Novo decision summary DEN230023 ↗
- 4 Syme et al., Skeletal Radiology, 2026 ↗: a before-and-after comparison at one eight-site Ontario imaging provider
- 5 Jayarajah et al., Canadian Association of Radiologists Journal, 2025 ↗: a prospective study at one Canadian hospital
Peer-reviewed publications.
Select a study to read its summary.
ObjectiveTo evaluate the clinical impact of Rho on bone health screening at a large independent health facility, measuring its effect on DXA referrals and downstream diagnoses.
MethodsOver 13 months, Rho analyzed X-rays from patients aged 50 and older at a large independent health facility. Radiologists could opt to include Rho-flagged findings in their X-ray reports. DXAs occurring within 6 months were categorized as either Rho-generated or arranged through usual standard-of-care, and outcomes compared.
ResultsOf 34,162 X-rays analyzed, Rho flagged 19,004 (56%) for low BMD. Radiologists included this information in 7,726 (41%) of reports. Initial and surveillance DXAs increased by factors of 1.8 and 1.4, respectively. Rho-generated DXAs identified a greater proportion of patients with low BMD compared to pre-planned DXAs (87% vs 69%, p<0.001). The diagnostic yield was particularly marked in patients undergoing their first-ever DXA (84% vs 60%) and in males aged 65 and older (83% vs 45%).
ConclusionIncorporating Rho into the radiology workflow nearly doubled initial bone health assessments and prompted additional surveillance DXA evaluations. Rho captured higher rates of true low BMD than standard-of-care practices, particularly in older men, an under-screened population.
BackgroundDespite the prevalence and fracture risk of osteoporosis, access to gold-standard DXA scans remains limited, especially in rural communities. This study independently validates Rho by evaluating its performance against DXA in a retrospective cohort of patients.
MethodsRetrospective study of 4,878 patients (mean age 70, 80% female) with DXA acquired within one year of a radiograph. Performance was evaluated by AUC for identifying patients at risk for low BMD (T-Score ≤ -1) and osteoporosis (T-Score ≤ -2.5). Subgroup analyses by radiograph location, sex, and rural vs urban populations were performed.
ResultsOverall AUC was 0.840 (95% CI: 0.831-0.848) for predicting low BMD and 0.815 (95% CI: 0.806-0.824) for osteoporosis. Rural and urban populations both showed strong AUCs for low BMD (0.873 and 0.873) and osteoporosis (0.865 and 0.812). Performance was comparable across men and women.
ConclusionRho identified patients at risk of low BMD with an AUC of 0.840, with similar results in rural and urban populations. The authors see a role for Rho in prioritizing patients for DXA in communities with limited access to it. Osteoporosis, also analyzed, is not part of Rho’s intended use.
CitationSyme, Cicero, Adachi, Berger, Morin, Goltzman, Bilbily. Fracture risk scores using output from an opportunistic screen of low bone density from conventional X-ray. Journal of Bone and Mineral Research, 2026 (online August 2025).
NoteThis study evaluated a research use of Rho’s output that is not part of Rho’s authorized use. Rho does not provide a T-score or a fracture risk estimate. The authors include 16 Bit employees.
BackgroundFRAX estimates 10-year risk for major osteoporotic fracture and hip fracture, and is often refined by including femoral neck BMD measured by DXA. This study evaluates whether a FRAX score using a Rho-derived FN T-Score estimate (FRAX-Rho; not an output of Rho cleared or authorized by any regulator) can improve a FRAX score without a T-Score input (FRAX-NoT).
MethodsRetrospective analysis of Canadian Multicentre Osteoporosis Study participants who had X-rays of the lumbar and/or thoracic spine, FRAX risk factors, and DXA T-Scores acquired at the same timepoint, with follow-up fracture outcomes over 9 years.
ResultsIn 1,361 participants with lumbar X-rays, FRAX-Rho and FRAX with DXA FN T-Scores (FRAX-DXA) had very good agreement in categorizing participants by MOF risk (Cohen's weighted kappa κ = 0.80), tending to be better than that between FRAX-NoT and FRAX-DXA (κ = 0.76). Agreement for hip fracture risk was significantly greater between FRAX-Rho and FRAX-DXA (κ = 0.67) than FRAX-NoT and FRAX-DXA (κ = 0.52). In predicting incident major osteoporotic fracture over 9 years, FRAX-Rho had greater discriminative power than FRAX-NoT (c-index 0.76 vs 0.73) and did not differ significantly from FRAX-DXA (0.77). FRAX-Rho was also more accurate than FRAX-NoT (Brier score). For hip fracture, FRAX-Rho did not differ significantly from FRAX-NoT in either measure.
ConclusionFRAX-Rho from lumbar X-rays had greater discriminative power and accuracy than FRAX-NoT for major osteoporotic fracture. The authors conclude that FN T-Score estimates from Rho add value to FRAX without a T-Score and may be useful for fracture risk assessment when DXA is not available, and that further studies in other populations are needed.
PurposeTo evaluate Rho's ability to prospectively identify patients at risk for low BMD from standard X-rays, its adoption rate by radiologists, and acceptance by primary care providers.
MethodsProspective study at Sunnybrook Health Sciences Centre. Patients aged 50 and older were recruited when undergoing an X-ray of a Rho-eligible body part for any clinical indication. Questionnaires were completed at baseline and 6-month follow-up. PCPs of Rho-Positive patients were asked for feedback.
ResultsOf 1,145 patients consented, 987 had X-rays screened by Rho, and 655 were flagged as Rho-Positive. Radiologists included this finding in 524 (80%) of reports. Of all Rho-Positive patients, 125 had a DXA within 6 months; Rho had a 74% positive predictive value for DXA T-Score <-1. From 51 PCP responses, 78% found Rho beneficial. Of 389 patients with follow-up data, a greater proportion of Rho-Positive vs Rho-Negative patients had discussed bone health with their PCP since study start (36% vs 18%, p<0.001) or were newly diagnosed with osteoporosis (11% vs 5%, p=0.03).
ConclusionBy identifying patients at risk of low BMD with acceptability of reporting by radiologists and generally positive PCP feedback, Rho has the potential to improve low osteoporosis screening rates by leveraging existing X-ray data.
OverviewReview of the Canadian clinical deployment of Rho, written for a German clinical audience and published in Osteologie.
ContextOsteoporosis, characterized by reduced bone mineral density, affects 200 million people worldwide. Osteoporosis-associated deterioration of bone quality increases an individual's risk of fragility fracture. Reduction of primary fragility fractures requires patient awareness of risk factors and initiation of strategies to optimize bone health.
The Rho approachRho analyzes routine X-rays acquired for any clinical indication and alerts a radiologist at time of reporting if the patient is at risk of having low BMD. By including the opportunistic finding in their X-ray report, the radiologist can prompt the often-overlooked clinical fracture risk assessment.
Canadian deploymentAt publication, Rho had prospectively screened over 250,000 patients in Canada as part of routine care. In studies that have assessed outcomes of Rho findings, many patients have been newly diagnosed with osteoporosis or elevated fracture risk.
ImplicationThe authors propose opportunistic screening with Rho for patients in Germany and across Europe. Rho received the CE mark in January 2026.
BackgroundOsteoporosis is under-screened. The ability to estimate BMD at the femoral neck and lumbar vertebrae from standard radiographs would enable opportunistic screening of low BMD in individuals undergoing X-ray for any clinical indication.
MethodsRadiographs of the lumbar spine, thoracic spine, chest, pelvis, hand, and knee, paired with DXA acquired within one year, were obtained from community imaging centers (62,023 X-ray-DXA pairs). Rho was developed using X-ray, age, and sex as inputs, outputting the likelihood of low BMD. Performance was assessed in three independent test sets: community imaging centers (n=3,729), the Canadian Multicentre Osteoporosis Study (n=1,780), and the Osteoarthritis Initiative (n=591).
ResultsAreas under the ROC curves were 0.89 (0.87-0.90), 0.87 (0.85-0.88), and 0.82 (0.79-0.85), respectively. Subset analyses showed similar performance for each sex, body part, and race.
ConclusionRho can opportunistically screen patients at risk of low BMD from radiographs of the lumbar spine, thoracic spine, chest, pelvis, hand, or knee, including when the femoral neck and lumbar vertebrae are not in the image.
Presented at radiology and bone health meetings.
RANZCR 2026 Annual Scientific Meeting, Christchurch, New Zealand · October 2026
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AI-powered opportunistic screening for low bone density on X-ray to improve osteoporosis care
Syme, Karunasena, Bilbily, Mylvaganam, Taylor, Larson, Cicero. Oral presentation with Lumus Imaging. One month of X-rays from 21,224 patients at an Australian radiology network: 82% of patients aged 70 and over had no DXA within 2.5 years of their X-ray. Among patients without a DXA, Rho flagged 72% of women and 42% of men as likely to have low bone density.
AOCR SGCR-WIRES 2026, Singapore · August 2026
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Performance of opportunistic evaluation of low bone mineral density from radiographs in the Singapore population
Phua, Sim and colleagues, Tan Tock Seng Hospital, with 16 Bit. Retrospective study at Tan Tock Seng Hospital and Singapore polyclinics, part of the CHISEL test-bed with NHG Health. Second prize in the NUS Shih-chang Wang Prize in Radiology competition, August 22, 2026.
World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases 2026, Prague, Czech Republic · April 2026
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Performance of NOGG guidelines based on FRAX prior to DXA vs FRAX calculated using a femoral neck estimate from an opportunistic screen of low bone density from standard X-ray
Syme, Cicero, Lopes, Bilbily. Presentation. This work evaluated a research use of Rho’s output that is not part of Rho’s authorized use.
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Potential to augment Osteoporosis Canada guidelines for DXA referral with FRAX calculated using a femoral neck estimate from an opportunistic screen of low bone density from standard X-rays
Syme, Cicero, Lopes, Bilbily. Presentation. This work evaluated a research use of Rho’s output that is not part of Rho’s authorized use.
RSNA 2024 Annual Meeting, Chicago · December 2024
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Opportunistic screening of low bone density on X-ray: experience at an academic hospital
Jayarajah and colleagues, Sunnybrook Health Sciences Centre. Scientific paper, December 4, 2024. Of 1,142 patients aged 50 and older screened, 653 were Rho positive; radiologists included the finding in 80% of reports, and 19% of flagged patients had a DXA within six months. Reported by AuntMinnie. Published in full in CARJ, 2025.
ASBMR 2024 Annual Meeting, Toronto · September 2024
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Performance of an opportunistic AI tool at identifying low bone density using conventional x-ray in US patients
Syme, Cicero, Narayan, Rahman, Bilbily. 522 patients from six US centers, 513 analyzed by Rho. AUC 0.85.
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Clinical impact of new AI tool that predicts low bone mineral density from X-ray: experience at Sunnybrook Health Sciences Centre
Jayarajah, Oikonomou. Published in full in CARJ, 2025.
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Identification of fracture risk from an opportunistic screen of low bone density using conventional X-ray
Syme, Bilbily, Adachi, Berger, Morin, Goltzman, Cicero. Published in full in JBMR, 2026. This work evaluated a research use of Rho’s output that is not part of Rho’s authorized use.
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