A groundbreaking “deep learning” artificial intelligence (AI) model developed at Washington State University (WSU) is showing promising results in identifying signs of disease in both animal and human tissue. This model, which is faster and often more accurate than human pathologists, could significantly accelerate disease research and improve medical diagnoses, particularly in the early detection of cancers.
Published in Scientific Reports, the study highlights the AI’s ability to analyze pathology images with remarkable speed and precision. For example, the model can detect cancer from biopsy images in just a few minutes—far outpacing the hours of work typically required by human pathologists. According to Michael Skinner, a biologist at WSU and co-author of the study, this AI system has the potential to “revolutionize” medical diagnostics and pathology, providing a crucial tool for both animal and human health analysis.
Continue reading… “AI Model at Washington State University Revolutionizes Disease Detection in Tissue Samples”
