WEI-CHUNG WANG
National Taiwan University and NTU Hospital
Artificial Intelligence for Medical Image Analyses and Applications
We lay out our plan to build a platform called Artificial Intelligence for Medical Image Analysis (AIMIA). The AIMIA platform consists of Artificial Intelligent Engine (AI Engine) and Augmented Intelligence Workflows (AI Workflows). The AI Engine consists of high-performance algorithms and software modules aiming to extract insightful information from a large volume of medical image datasets accurately, efficiently, and robustly. In particular, the AI Engine includes Image Processing, Quantitative Analytics, Deep Learning, Machine Learning, and High Dimensional Data Analysis Toolboxes to analyze medical images. By taking these algorithms and software modules as the building blocks, we further build up innovative AI Workflows in various clinical applications. AI Workflows examples include precision cancer treatments in a lung, hypopharyngeal, hepatocellular carcinoma, digital pathology whole slide image analysis for prostate cancers, pancreatic masses classification and detection, radiotherapy treatment planning in lung cancer, and psychiatric disorders phenotyping. These examples illustrate how we apply the AI Engine to configure AI Workflows in clinical medical cares and biomedical research. AIMIA is also a platform allowing international experts from academia and industry in medical, mathematical, statistical, computational, and information sciences to work together to ensure the research and development efforts can benefit the society broadly.
We lay out our plan to build a platform called Artificial Intelligence for Medical Image Analysis (AIMIA). The AIMIA platform consists of Artificial Intelligent Engine (AI Engine) and Augmented Intelligence Workflows (AI Workflows). The AI Engine consists of high-performance algorithms and software modules aiming to extract insightful information from a large volume of medical image datasets accurately, efficiently, and robustly. In particular, the AI Engine includes Image Processing, Quantitative Analytics, Deep Learning, Machine Learning, and High Dimensional Data Analysis Toolboxes to analyze medical images. By taking these algorithms and software modules as the building blocks, we further build up innovative AI Workflows in various clinical applications. AI Workflows examples include precision cancer treatments in a lung, hypopharyngeal, hepatocellular carcinoma, digital pathology whole slide image analysis for prostate cancers, pancreatic masses classification and detection, radiotherapy treatment planning in lung cancer, and psychiatric disorders phenotyping. These examples illustrate how we apply the AI Engine to configure AI Workflows in clinical medical cares and biomedical research. AIMIA is also a platform allowing international experts from academia and industry in medical, mathematical, statistical, computational, and information sciences to work together to ensure the research and development efforts can benefit the society broadly.