6th Global Gastroenterology and Artificial Intelligence Summit (Live) | September 2024-Empowering Innovation: The NIH's Role in Advancing AI Research in Gastroenterology

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The National Institutes of Health (NIH) is playing a pivotal role in advancing artificial intelligence (AI) research within the field of gastroenterology. Under the leadership of Chris Kinsinger, Ph.D., the NIH focuses on three critical areas: data generation, model development, and model implementation.<br /><br /><strong>Data Generation:</strong> The Bridge to Artificial Intelligence (Bridge2AI) program emphasizes generating diverse and FAIR (Findable, Accessible, Interoperable, Reusable) data, alongside ethically sourced and reliable data. The initiative collaborates with experts from multiple disciplines to tackle complex biomedical challenges across four grand challenges.<br /><br /><strong>Expanding AI/ML in Clinical Care:</strong> NIH aims to leverage AI to improve recovery outcomes for acute illnesses. For example, a dataset comprising 100,000 patients from 14 diverse ICU sites is being created to develop an AI model that can detect early warnings of adverse events like stroke and heart attacks through natural language processing of clinical notes.<br /><br /><strong>Standards and Repositories:</strong> The NIH underscores the importance of standardizing AI through datasheets, model cards, and a shared terminology. The Medical Imaging Data Resource Center (MIDRC) is a key repository initiative, providing AI-ready data from over 567,000 imaging studies, tools like a diversity calculator, and outreach through channels like MIDRC Media.<br /><br /><strong>Model Development:</strong> Effective model development at NIH includes creating guidelines to mitigate bias, protect privacy, ensure transparency through model cards, and manage intellectual property considerations. Special focus is given to developing multimodal AI systems which combine various types of data to enhance biomedical research.<br /><br /><strong>Implementation:</strong> NIH's framework for AI implementation includes third-party evaluations, research and clinical integrations, and continuous monitoring to prevent model drift. The Artificial Intelligence Institute for Gastroenterology also plays a crucial role by translating AI assurance insights into practical methodologies and identifying impactful AI use cases.<br /><br />Overall, the NIH's initiatives aim to democratize AI research, ensure ethical and trustworthy AI practices, and foster sustainable AI frameworks to significantly advance health research and clinical care.

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Chris Kinsinger, PhD

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Concept Data Creation

Concept Model Development

Concept Model Implementation

Concept Biomedical Data

Concept Data Quality

Keywords

NIH

Artificial Intelligence

Gastroenterology

Data Generation

Model Development

Model Implementation

Bridge2AI

Clinical Care

MIDRC

Ethical AI

Data Creation

Model Development

Model Implementation

Biomedical Data

Data Quality