The evaluation of image analysis technology using artificial intelligence (AI) in urological tumor

The evaluation of image analysis technology using artificial intelligence (AI) in urological tumor - The evaluation of image analysis technology using artificial intelligence (AI) in urological tumor

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000033722

Enrollment

5000

Registered

2018-08-15

Start date

2018-08-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

urological tumor

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: In the department of urology at Nagoya university and related collaborative research hospital of it, all urinary tumor patients who underwent surgery treatment, medication treatment and diagnosis with imaging data(CT,MRI,PET and so on) and clinical examination data remain on the electronic medical records were included for the past 15 years .

Exclusion criteria

Exclusion criteria: This study using clinical data in past. Some cases that can not be pursued and cases that have already died are included. Publish research contents on the website and release information disclosure. If patients refuse to use it, patients can offer it.

Design outcomes

Primary

Measure	Time frame
The concordance rate between AI diagnosis and clinical diagnosis	—

Secondary

Measure	Time frame
The relationship with life prognosis, validity as an appropriate treatment option and examination of prognostic factors	—

Countries

Japan

Contacts

Public ContactNaoto Sassa

Nagoya University, Graduate School of Medicine Department of Urology

sassa@med.nagoya-u.ac.jp052-744-2985

Outcome results