ASGE Masterclass: Artificial Intelligence (Live Virtual) | June 2021-01-ASGE AI Master Class Berzin 2021

01-ASGE AI Master Class Berzin 2021

Pdf Summary

Artificial intelligence (AI) refers to computer systems or algorithms that perform tasks that usually require human intelligence, such as visual perception, speech recognition, and decision-making. Machine learning is a subset of AI that involves training algorithms to solve tasks through pattern recognition rather than explicitly programming how to solve the task. Deep learning is a type of machine learning that uses deep neural networks with multiple layers.<br /><br />Computer vision is a technology that allows computers to "see" and interpret visual content, either with or without AI technology. Traditional machine learning for image classification involves manually choosing features for the computer to look for, while supervised deep learning involves providing labeled images to an artificial neural network that automatically extracts key features.<br /><br />There have been significant advances in AI and computer vision in recent years. Object detection is an example, where computer vision can classify, localize, detect, and segment objects in images. For example, computer vision can detect and classify polyps in endoscopic images. Machine learning and deep learning algorithms are data hungry and require labor-intensive image labeling to improve accuracy.<br /><br />Natural Language Processing (NLP) involves algorithms that transform unstructured natural language data, such as clinic notes or colonoscopy reports, into data that can be used for computation and analysis. NLP can enable faster and more powerful analysis of practice data and can be used for tasks such as automated reporting of quality metrics in colonoscopy reports.<br /><br />However, it is important to note that AI algorithms are not infallible. They can be thrown off by subtle perturbations or weaknesses and may not generalize well to new data sets. It is crucial to collaborate with the AI research community and be aware of potential limitations and challenges in implementing AI in medical practice.

Keywords

Artificial intelligence

computer systems

machine learning

deep learning

computer vision

image classification

supervised learning

object detection

Natural Language Processing