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Explainable Insulin Decision-making System to Assist Physicians in Diabetes Management

NCT06434584 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 48

Last updated 2024-05-30

No results posted yet for this study

Summary

The investigators plan to conduct a multi-case, multi-reader observational study with the primary objective of exploring the effects of an interpretable insulin-assisted decision-making system on physicians' (1) decision accuracy and (2) decision confidence.

Conditions

Interventions

OTHER

without AI assistance

provide insulin dosage and confidence score without AI assistance

OTHER

with AI dosage assistance

provide insulin dosage and confidence score with AI dosage assistance

OTHER

with explainable AI assistance

provide insulin dosage and confidence score with explainable AI assistance

OTHER

with faulty explainable AI assistance

provide insulin dosage and confidence score with faulty explainable AI assistance

Sponsors & Collaborators

  • Shanghai Zhongshan Hospital

    lead OTHER

Principal Investigators

  • Xiaoying Li, Professor · Fudan University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-12-10
Primary Completion
2023-03-20
Completion
2023-06-10

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06434584 on ClinicalTrials.gov