Establishing a Center for Innovation and Artificial Intelligence in a Tertiary Medical Center: Successes and...

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Clinical Innovation

Background:

• Artificial Intelligence (AI) is increasingly influencing medical practices, including diagnosis, prediction, and treatment.
• Medical centers can leverage AI research and development units to advance patient care and clinical research.
• Establishing dedicated AI units facilitates the integration of cutting-edge technology at the point of care.

Purpose of the Study:

• To detail the establishment process of an AI and big data center within a tertiary hospital's innovation hub in Israel.
• To analyze the trends, clinical applications, and leading sectors of AI projects within the established center.

Main Methods:

• A retrospective analysis of 49 AI projects conducted at the Rabin Medical Center's Artificial Intelligence Center between 2019 and 2023.
• Examination of project trends, clinical domains, and originating hospital sectors.
• Categorization of projects into applied research, research-based, or a combination.

Main Results:

• A significant and consistent growth in AI project volume was observed, with a 150% increase after the center's inauguration.
• Cardiology, gastroenterology, and anesthesia were the dominant clinical sectors for AI projects.
• Physicians led most projects (79.6%), with 59.2% classified as applied research.

Conclusions:

• Collaborative development of AI projects using in-hospital data with clinicians shows significant promise for medical innovation.
• The establishment of more AI-focused medical innovation centers is anticipated.
• AI integration in healthcare settings is crucial for future advancements in patient care and research.