6th Global Gastroenterology and Artificial Intelligence Summit (Live)

Pdf Summary

The document outlines the journey and current landscape of Artificial Intelligence (AI) in Gastroenterology (GI), spearheaded by Dr. Prateek Sharma from Kansas City, USA. The timeline begins in 2019 with the establishment of the ASGE AI Task Force and the convening of the first AI GI Summit. The proceedings of this summit were subsequently published, and by 2020, position statements and priorities were outlined by the AI Task Force.<br /><br />As of 2023, there has been an exponential rise in AI publications and large language models (LLMs), such as ChatGPT, entering the mainstream market. A framework and consensus statement for AI in GI have been published by the AI Task Force. Looking ahead to 2024, the mission of the Artificial Intelligence Institute for Gastroenterology is to seamlessly integrate AI into GI care to enhance patient outcomes and drive innovation through advanced AI solutions.<br /><br />The strategic priorities for 2024-2025 are divided into multiple workgroups: Literature Updates, Communication, International, Documents, CADe (Computer-Aided Detection), Clinical Trials, HAI (Healthcare-associated Infections), and NLP (Natural Language Processing). There is also a mention of the Global Advisory Council for 2024-2027.<br /><br />The document emphasizes several core areas: Education, Training, and Curriculum Development; Practice Operations; Standards, Quality, and Safety; and Advocacy. These functions are aimed at integrating AI into educational frameworks, improving practice operations through technology, ensuring high standards and safety, and advocating for the benefits and adoption of AI in gastroenterology.<br /><br />Key tasks include image aggregation, de-identification, data transfer, annotation and curation, certification, validation, and creation of metrics. The broader aim is to drive AI innovation in GI for improved patient care and outcomes.

Asset Subtitle

Prateek Sharma, MD, FASGE

Keywords

Artificial Intelligence

Gastroenterology

AI Task Force

AI GI Summit

Large Language Models

AI integration

Patient outcomes

Clinical Trials

Natural Language Processing

Healthcare-associated Infections