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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)
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Blood cells classification | Diagnostic Test | Comparison of the classification of peripheral blood and bone marrow cells with optical microscope reading with pre-classification using Scopio technology (AI based) |
| Measure | Description | Time Frame |
|---|---|---|
| Optical microscope reading and automatic pre-classification | Comparison between optical microscope reading and automatic pre-classification (AI based) | 12 months |
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Pazienti affetti da emopatie
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Patrizia Chiusolo, MD | Contact | +390630154206 | patrizia.chiusolo@unicatt.it | |
| Elena Rossi, MD | Contact | +390630154206 | elena.rossi@unicatt.it |
| Name | Affiliation | Role |
|---|---|---|
| Patrizia Chiusolo | Fondazione Policlinico Universitario Agostino Gemelli IRCCS | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fondazione Policlinico Universitario A. Gemelli IRCCS | Roma | 00168 | Italy |
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| ID | Term |
|---|---|
| D019337 | Hematologic Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
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