This accelerating momentum around computational pathology is creating a newfound sense of enthusiasm, inspiring some laboratories while increasing the pressure on others to keep up. It’s also fueling the hype around AI – and, sometimes, proliferating misconceptions that may make adoption seem overwhelming, especially for the organizations most at risk of falling behind.
AI is poised to make the biggest impact on pathology since the introduction of the light microscope over a century ago, so it’s time to dispel these myths. In this contributed article, Chief Product Officer Nathan Buchbinder breaks down common misconceptions so that all laboratories can chart their path in computational pathology, setting themselves up for current and future success.
