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A Reality Check – When Lab-Trained AI Meets the Real World, "Mistakes Can Happen"

Contamination of tissue samples can mislead AI models, preventing them from making accurate diagnoses in real-world situations. Human pathologists undergo rigorous training to identify instances where tissue samples from one patient are accidentally placed on microscope slides meant for another pat ....

Ismail Irmakci , Rujoi Zhou , Mariavittoria Vescovo , Ramin Nateghi , Madeline Saft , Jefferya Goldstein , Leead Cooper , Ximingj Yang , Ashleye Ross , Jeffery Goldstein , National Center , Technology Concept Art , National Institute Of Biomedical Imaging , Northwestern University Feinberg School Of Medicine , Human Services , Department Of Health , Walder Foundation Fund To Retain Clinician Scientists , Translational Sciences , Artificial Intelligence , Concept Art , Northwestern University Feinberg School , National Institute , Biomedical Imaging , Advancing Translational Sciences , Walder Foundation Fund , Retain Clinician Scientists ,

Lab-Trained AI Prone to Errors in Real World

Lab-Trained AI Prone to Errors in Real World
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Jeffery Goldstein , National Center , Human Services , Walder Foundation Fund To Retain Clinician Scientists , National Institutes Of Health , National Institute Of Biomedical Imaging , Northwestern University Feinberg School Of Medicine , Translational Sciences , Department Of Health , Northwestern Medicine , Northwestern University Feinberg School , National Institute , Biomedical Imaging , Advancing Translational Sciences , National Institutes , Walder Foundation Fund , Retain Clinician Scientists ,