Early diagnosis of Alzheimer's disease with machine learning and visual aids

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2000033067

Enrollment

Unknown

Registered

2020-05-19

Start date

2020-06-01

Completion date

Unknown

Last updated

2020-05-25

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

Conditions

Alzheimer's disease

Interventions

Gold Standard:Magnetic resonance imaging and cognitive function tests.

Index test:Intelligent&#32

identification&#32

system.

Eligibility

Sex/Gender

All

Age

60 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Patients who meet the diagnostic criteria of Alzheimer's disease and mild cognitive impairment in DSM-V; 2. Patients who voluntarily participated in the study and signed the informed consent.

Exclusion criteria

Exclusion criteria: 1. A history of severe physical or cerebral organic disease and a history of craniocerebral trauma; 2. The experimenter did not cooperate or could not effectively complete the examination; 3. With cardiac pacemaker, insulin pump, artificial heart valve and other metal in the body.

Design outcomes

Primary

Measure	Time frame
Early recognition rate;SEN, SPE, ACC, AUC of ROC;	—

Countries

China

Contacts

Public ContactWanzhen Wu

Zhejiang Hospital

wuwanzhenzj@163.com+86 18072968866

Outcome results

None listed

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