E-Mail IMAGE: A team of doctors led by UVA Health's James H. Harrison Jr., MD, PhD, has given us a glimpse of tomorrow in a new article on the current state and... view more Credit: UVA Health Artificial intelligence can already scan images of the eye to assess patients for diabetic retinopathy, a leading cause of vision loss, and to find evidence of strokes on brain CT scans. But what does the future hold for this emerging technology? How will it change how doctors diagnose disease, and how will it improve the care patients receive? A team of doctors led by UVA Health's James H. Harrison Jr., MD, PhD, has given us a glimpse of tomorrow in a new article on the current state and future use of artificial intelligence (AI) in the field of pathology. Harrison and other members of the College of American Pathologists' Machine Learning Workgroup have spent the last two years evaluating the potential of AI and machine learning, assessing its current role in diagnostic testing and outlining what is needed to meet its potential in the not-too-distant future. And that potential is huge, they report.