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NCT02785445COMPLETEDanonymous

A Comparative, Controlled Study to Evaluate the Clinical Accuracy and User Performance of the Dip Home-Based Dipstick Analyzer

Sponsor

Source record

Healthy.io Ltd.

Phase

Source record

NA

Modality

AI-normalized

medical device

Target

AI-normalized

Dip.io Home Based Dipstick Analyzer, ACON U500 Mission® U500 Urine Analyzer

Indication / condition

AI-normalized

Urinary Tract Infection

Intervention

Source record

Dip.io Home Based Dipstick Analyzer, ACON U500 Mission® U500 Urine Analyzer

Source & freshness

Source record

NCT ID

NCT02785445

Original source

ClinicalTrials.gov

Source last updated

Sep 11, 2017

Ingested at

Jun 11, 2026

Internal sync

Jun 11, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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View original source fields

NCT ID

NCT02785445

Title

A Comparative, Controlled Study to Evaluate the Clinical Accuracy and User Performance of the Dip Home-Based Dipstick Analyzer

Sponsor

Healthy.io Ltd.

Status

COMPLETED

Phase

NA

Condition raw

Urinary Tract Infection, Kidney Failure, Diabetes

Condition normalized

Urinary Tract Infection, Kidney Failure, Diabetes

Modality raw

medical device

Modality normalized

medical device

Target raw

Dip.io Home Based Dipstick Analyzer, ACON U500 Mission® U500 Urine Analyzer

Target normalized

Dip.io Home Based Dipstick Analyzer, ACON U500 Mission® U500 Urine Analyzer

Interventions

Dip.io Home Based Dipstick Analyzer, ACON U500 Mission® U500 Urine Analyzer

Public preview

Source record

The objectives of the Healthy.io Method Comparison and User Performance Study are:

To evaluate the performance of Dip.io Device in comparison to the ACON U500 Mission® U500 Urine Analyzer.

To evaluate the user performance of Dip.io Device under actual use conditions (home environment) based on a user questionnaire and rating scale.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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