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Clinical Study for Taichi Precise Image

Clinical Study for Taichi Precise Image

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07767201
Acronym
Taichi
Enrollment
192
Registered
2026-08-17
Start date
2026-10-15
Completion date
2027-03-31
Last updated
2026-08-17

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

Conditions

CT Scans, Precise Image (AI Reconstruction Feature of CT 7500 RT System)

Brief summary

The objective of the study is to evaluate the Image Quality (IQ), and diagnostic acceptability of Precise Image (PI) as compared with iDose4 as a standard-of-care reference. The study is designed to assess the performance of Precise Image algorithm on data collected from subjects scanned by CT Rembra RT, CT Areta RT or CT Rembra. This approach allows for the evaluation of image quality and diagnostic acceptability by comparing the PI algorithm with iDose4, which serves as the standard-of-care reference.

Interventions

None listed

Sponsors

Philips Clinical & Medical Affairs Global
Lead SponsorINDUSTRY

Study design

Observational model
OTHER
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
23 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Subjects scanned by CT Rembra RT, CT Areta RT or CT Rembra according to the department standard of care clinical protocols. * Subjects age \> twenty-two (22) years

Exclusion criteria

* Scans that the site radiologists/medical physicists have deemed as non-diagnostic image quality in the standard practice (e.g. patient movement) * Scans that are not completed due to technical difficulties

Design outcomes

Primary

MeasureTime frameDescription
Acceptability of Precise Image reconstruction5 months from enrollmentThe Image Quality and diagnostic acceptability of Precise Image reconstructions are at least as good as (non-inferior to) iDose4 for conventional images.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 18, 2026