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Evaluation of the Impact of Artificial Intelligence-Multidisciplinary Team (AI-MDT) Model on Diagnostic and Therapeutic Consistency and Clinical Outcomes in Patients with Multiple Myeloma Complicated by Myeloma Bone Disease: A Multicenter Retrospective Study

Evaluation of the Impact of Artificial Intelligence-Multidisciplinary Team (AI-MDT) Model on Diagnostic and Therapeutic Consistency and Clinical Outcomes in Patients with Multiple Myeloma Complicated by Myeloma Bone Disease: A Multicenter Retrospective Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114061
Enrollment
Unknown
Registered
2025-12-08
Start date
2025-12-08
Completion date
Unknown
Last updated
2025-12-15

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

Conditions

Multiple myeloma

Interventions

AI-MDT:None

Sponsors

The First Affiliated Hospital of Zhejiang University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1) Age>=18 years; 2) Diagnosed as symptomatic multiple myeloma according to the IMWG 2016 criteria, and not receiving systemic anti-myeloma treatment; 3) Bone marrow disease caused by multiple myeloma has been confirmed by imaging (PET/CT, MR or CT); 4) Diagnosis period: from January 1, 2020 to June 30, 2024; 5) The patient has available and assessable myeloma-related indicators for efficacy, including blood M protein, urine M protein, serum free light chain, bone marrow plasma cell level or extramedullary plasma cell tumor; 6) Complete and usable baseline data, treatment plans and follow-up data are available.

Exclusion criteria

Exclusion criteria: 1) Patients with other primary malignancies who still require treatment; 2) Patients diagnosed with smoldering myeloma or monoclonal immunoglobulinosis of undetermined significance; 3) Pregnant or lactating women; 4) Patients with severely missing clinical data for reliable evaluation; 5) Patients deemed unsuitable for enrollment by the investigator.

Design outcomes

Primary

MeasureTime frame
Accuracy;

Secondary

MeasureTime frame
Incidence of skeletal-related events;

Countries

China

Contacts

Public ContactChen Bin

The First Affiliated Hospital of Zhejiang University School of Medicine

yudongdongzheda@163.com+86 137 3800 6070

Outcome results

None listed

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