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Tundra lists 2 Osteoporosis Diagnosis clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07162168
Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
This study is a retrospective analysis that uses abdominal CT scans, which were originally taken for other medical reasons, to estimate bone age. By applying advanced deep learning methods, the investigators aim to develop a tool that can evaluate bone health and detect early signs of osteoporosis without requiring additional scans or radiation. This approach may help doctors better understand bone aging, improve screening for bone weakness, and provide patients with more personalized information about their bone health.
Gender: All
Ages: 18 Years - Any
Updated: 2025-12-03
NCT06371755
Bone Evaluation by Ultrasound Radiofrequency Echographic Multi Spectrometry (REMS) vs Dual X-ray Absorptiometry (DXA)
Bone Density Evaluation by means of the Ultrasound Technology Named Radiofrequency Echographic Multi Spectrometry (REMS) in Comparison With DXA Technique. Clinical Center involved in the study:IRCCS Orthopedic institute Galeazzi - Sant'Ambrogio The clinical study will evaluate the intra- and inter-operator repeatability of the REMS,(Radiofrequency Echographic Multi Spectrometry) ultrasound diagnostic technology implemented in the EchoStation device (Echolight Spa, Lecce) and the diagnostic accuracy in comparison with DXA (used as standard reference).
Gender: FEMALE
Ages: 30 Years - 80 Years
Updated: 2025-09-05
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