Analysis: AI at RSNA – Signs of Maturity, But a Long Way to Go
Simon Harris of Signify Research shared his observations of the maturity and readiness of AI at RSNA18. “Cutting through the inevitable hype,” he wrote, “it was clear that vendors are making progress with bringing AI solutions into the daily workflows of radiologists and other imaging specialists.”
Harris also noted:
Most of the AI solutions on show at RSNA were essentially detection and/or quantification tools for specific use-cases, e.g. lung nodule detection. Over time, these point solutions will evolve to have broader capabilities. For example, tools that provide automatic feature detection will also provide quantification and characterisation of abnormalities. There were a handful of solutions of this type on show at RSNA. For example, Koios presented its Decision Support (DS) solution for breast ultrasound that assesses the likelihood of malignancy based on the BI-RADS evaluation scale.