Skip to content

Deep Learning System to Predict and Diagnose Bone Strength in Older Adults and the Utility Evaluation of Compound Chinese Medicine Treating Primary Osteoporosis

Deep Learning System to Predict and Diagnose Bone Strength in Older Adults and the Utility Evaluation of Compound Chinese Medicine Treating Primary Osteoporosis

Status
Recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2000036908
Enrollment
Unknown
Registered
2020-08-25
Start date
2020-10-01
Completion date
Unknown
Last updated
2021-12-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

osteoporosis

Interventions

Real world doctors group:Real world doctors
The assistant decision group:Assistant decision

Sponsors

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Research 2: the clinical research of osteoporosis deep learning model training and comparative test Inclusion criteria: the elderly aged 50-80 years, who were positive by one minute test of osteoporosis risk of IOF, and signed the informed consent form and voluntarily participated in the study. Research 4: validation of deep learning model of real world osteoporosis and clinical diagnosis and treatment assistant decision model Inclusion criteria: elderly people aged 60-75 years, who met the diagnostic criteria for osteoporosis, signed informed consent and voluntarily participated in the study.

Exclusion criteria

Exclusion criteria: Patients with cognitive impairment, severe spinal and hip deformities, severe degenerative osteoarthritis, and people unable to take care of themselves may affect the results of BMD measurement.

Design outcomes

Primary

MeasureTime frame
Bone mineral density;CT examination of lumbar spine;Fracture risk assessment;

Secondary

MeasureTime frame
Bone metabolism;

Countries

China

Contacts

Public ContactZhao Yongfang

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine

zhao_dingding@126.com+86 21 20256519

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026