AI in MF Diagnosis
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorAl-Azhar University
About this trial
The aim of this observational study is to evaluate the diagnostic performance of an AI algorithm in the histopathological diagnosis of MF compared to certified dermatopathologists.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Histopathological slides diagnosed as MF.
Slides with adequate staining and preservation allowing clear visualization of histopathological features.
Disqualifiers
Slides with poor staining quality or significant artifacts interfering with histopathological interpretation.
Slides that were damaged, faded, or inadequately preserved.
Slides with uncertain or inconclusive original diagnoses.
Slides that could not be successfully digitized due to technical limitations ex very short or too long slides.
Trial population
H\&E stained glass slides of MF cases will be collected from the pathology archive of Al hussein dermatopathology unit
Trial design
Design model
Other
Time perspective
Retrospective
Treatments tested in this trial
this study does not include any intervention
Other interventionDoes not include intervention
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
The accuracy of artificial intelligence in histopathological diagnosis of Mycosis fungoides will be evaluated by sensitivity and specificity
Time frame
1 yearSponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: