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

01-ASGE AI Master Class Berzin 2021

Pdf Summary

Artificial Intelligence (AI) and Machine Learning are terms often used interchangeably, but they have distinct meanings. AI refers to computer systems or algorithms that can perform tasks requiring human intelligence, such as visual perception and decision-making. On the other hand, machine learning is a subset of AI that involves training algorithms to solve tasks through pattern recognition, rather than explicitly programming them.<br /><br />Computer vision and natural language processing are two specific applications of AI. Computer vision is a technology that allows computers to interpret visual content, while natural language processing focuses on transforming unstructured data, like dictated clinic notes, into structured information for analysis.<br /><br />In the field of computer vision, there have been significant advancements in object detection. This involves classifying and detecting objects in images, assigning classes to them, and drawing bounding boxes. This technology has applications in various fields, including healthcare, where it can help with tasks like polyp detection during endoscopic procedures.<br /><br />Machine learning and deep learning algorithms are data-hungry, and image labeling is crucial for training these algorithms effectively. Manual image labeling can be labor-intensive, but there are AI technologies that can automate this process.<br /><br />Natural language processing enables the analysis of unstructured data, such as colonoscopy and pathology reports. It can transform this data into a format that can be used for computation and analysis, facilitating faster and more powerful analysis of medical practice data.<br /><br />However, AI algorithms are not infallible and can be fragile. They may be influenced by subtle perturbations or weaknesses, leading to incorrect results. It is important to be aware of the limitations of AI and the potential for performance alterations due to factors like overfitting or different cameras/processors.<br /><br />Gastroenterologists and trainees interested in AI are encouraged to proactively collaborate with the AI research community to explore growth opportunities in this field.

Keywords

Artificial Intelligence

Machine Learning

Computer Systems

Algorithms

Visual Perception

Decision-making

Computer Vision

Natural Language Processing

Object Detection

Image Labeling