Editorials & Other Articles

to ensure adequate positioning, angles, and contrast has been achieved for all imaging--whether in human medicine or veterinary medicine (both have had a major intro of AI even to clinics that perform routine radiographs). I think it can also be used for comparisons to ensure nothing has been missed in complex cases and etiologies.

That said, pre- and post-screens do not replace radiologists or the experienced, well-trained physician or veterinarian. They merely supplement. I know in veterinary medicine, there is a major issue with breed-specific 'normals' versus pathology, and that impacts the measurements taken, the anatomy, and the adaptation during a disease process that can still reflect a "normal" finding. While less dramatic, there are differences between both genders and populations in human medicine--as well as (of course), age. I'd imagine many ERs (like mine) that try hard not to be a first-line center for pediatrics (preferring that children be sent to pediatric specialty hospitals) would appreciate having this AI support when pressed to become so for that reason alone.

Yeah, I don't see AI taking over radiology, but that is a good platform for the future implementation.