None listed
Conditions
Interventions
Intervention1: Mammography Simulation Training: It is trained artificial neural netword designed by IIT Delhi, based on GAN, that can generate mammograms on its own and help to Blend masses of a given
Sponsors
AIIMS New Delhi
Eligibility
Inclusion criteria
Inclusion criteria: All Residents Posted in Mammography posting in stipulated time period
Exclusion criteria
Exclusion criteria: Residents posted in Mammography posting who do not consent to be a part of this study
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To use images generated and augmented by artificial neural network for training of radiology residents in mammographyTimepoint: Assess Performance on test set within 1 week after practice with tool | — |
Secondary
| Measure | Time frame |
|---|---|
| To ascertain how much benefit such training in simulated environment affords to residents in training and quantify the benefit with respect to stage of trainingTimepoint: Assess whether improvement is seen in routine mammography reporting by trained residents in comparison to residents who did not undergo training month | — |
Countries
India
Contacts
Public ContactDr Smriti Hari
All India Institute of Medical Sciences, New Delhi
Outcome results
None listed