Blood Cancer
Conditions
Brief summary
Digital morphology is currently expanding and developing new applications based on artificial intelligence software. We recently published a study comparing screen validation and microscopic reading of bone marrow aspirates. The aim of the current research will be the comparison between optical microscope reading and automatic pre-classification (AI based)
Interventions
DIAGNOSTIC_TESTBlood cells classification
Comparison of the classification of peripheral blood and bone marrow cells with optical microscope reading with pre-classification using Scopio technology (AI based)
Sponsors
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Study design
Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
* Patients suffering from hemopathies with bone marrow aspirate assessable under the optical microscope
Exclusion criteria
* Patients not affected by blood disorders * Patients suffering from hemopathies with bone marrow aspirate that cannot be assessed under the optical microscope
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Optical microscope reading and automatic pre-classification | 12 months | Comparison between optical microscope reading and automatic pre-classification (AI based) |
Countries
Italy
Contacts
Primary ContactPatrizia Chiusolo, MD
Backup ContactElena Rossi, MD
Outcome results
None listed