Diagnostic Radiologist

Summarized by Plex Health
Last Updated: 07 May 2022

Objective: To explore machine learning for linking picture web content, human understanding, cognition, and mistake in the diagnostic analysis of mammograms. Machine learning formulas were checked out to develop predictive models that link: picture web content with stare, picture material and gaze with cognition, and picture content, gaze, and cognition with diagnostic error. Results: By pooling the data from all radiologists machine learning produced extremely precise anticipating models linking photo material, gaze, cognition, and mistake. Verdicts: Machine learning formulas integrating image features with radiologists' stare information and diagnostic decisions can be effectively created to recognize affective and cognitive mistakes connected with the diagnostic interpretation of mammograms.

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

** If you believe that content on the Plex is summarised improperly, please, contact us, and we will get rid of it quickly; please, send an email with a brief explanation.

*** If you want us to remove all links leading to your domain from Plex.page and never use your website as a source of the "Online Knowledge", please contact us using a corporate email and we will remove everything in 10 business days.


Plex Page is a Biology & Health Sciences "Online Knowledge Base," where a machine summarizes all the summaries.