Regulatory landscape of clinical decision-making and therapeutic development driven by informatics technologies

• At the conclusion of this educational presentation, the participant will be able to: 
• List selection of diverse and equitable medical imaging data that indicate severity of disease for machine learning
•  List deep learning methods for generation, prediction and classification of diagnostic features
•  Describe methods for statistical benchmarking of novel deep learning systems and data analysis generated by them for clinical decision-making
• Interpret real-world evidence generated by Software as a Medical Device (SaMD) for clinical practice