Pattern Exploration was pleased to present some AI research at this year, 2019’s Society for Imaging Informatics in Medicine, SIIM conference in Denver, CO. Our presentation, titled “A Two-Stage Deep Learning Approach to Chest X-Ray Analysis”
Our research and presentation highlighted PE’s fundamental philosophy about small, interpretable neural networks that buck the massive pertained black box trend. This ideology is even more valuable in medical contexts, as discovering bias in data, in decision-making and inherent in any AI model itself is even more critical when talking about patient care, risk analysis and critical decision-making. These transparent networks , combined with the core idea that AI should function as an assistive technology alongside experts.
It was a pleasure to present our preliminary x-ray research to such a distinguished and talented group of medical, imaging and machine learning professionals and businesses.