Erik L. Ridley, Kate Madden Yee, Abraham Kim, Wayne Forrest, and Brian Casey[email protected]2018Top 5 trends from RSNA 2018 in ChicagoStop us if you've heard this before, but there was a dominant theme at this year's RSNA 2018 meeting in Chicago. And that theme, believe it or not, was artificial intelligence (AI). As at RSNA 2017, sessions on AI and the related topics of machine learning and deep learning dominated the halls of McCormick Place. However, the debate around AI has begun to shift in subtle ways.December 12, 20182017Top 5 trends from RSNA 2017 in ChicagoSometimes it's hard to come up with a theme for a given RSNA conference, but in 2017 it's easy -- talk of artificial intelligence (AI) dominated the discussion at RSNA 2017. Attendees stuffed lectures on AI to the point where people were turned away from crowded rooms, while vendors took advantage of heightened interest to make claims about AI-powered products that sometimes strained credulity.December 12, 2017Page 1 of 1Top StoriesUltrasoundSuspended suits offer protection for interventional echocardiographersSuspended lead suits reduce head-level radiation doses to interventional echocardiographers compared with traditional lead aprons.CTGoogle AI Studio shows potential for AI-based lung cancer detectionRisk ManagementPodcast: Whose duty is it to ensure MRI safety?Womens ImagingThe future of BI-RADS includes AISponsor ContentModernizing Radiotherapy Workflows: Lessons in Safety, Consistency, and Adoption at Scale
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
