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עמוד בית
Sun, 16.06.24

ORIGINALS

IMAJ | volume 26

Journal 2, February 2024
pages: 74-79

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

1 Beilinson Medical Center Innovation, Artificial Intelligence Center, Rabin Medical Center, Petah Tikva, Israel 2 Management, Rabin Medical Center (Beilinson Campus), Petah Tikva, Israel 3 Department of Cardiology, Rabin Medical Center (Beilinson Campus), Petah Tikva, Israel 4 Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel 5 Faculty of Computer Science, Reichman University, Herzliya, Israel

Summary

Background:

The field of artificial intelligence (AI) is poised to significantly influence the future of medicine. With the accumulation of vast databases and recent advancements in computer science methods, AI's capabilities have been demonstrated in numerous areas, from diagnosis and morbidity prediction to patient treatment. Establishing an AI research and development unit within a medical center offers multiple advantages, particularly in fostering research and tapping into the immediate potential of AI at the patient's bedside.

Objectives:

To outline the steps taken to establish a center for AI and big data within an innovation center at a tertiary hospital in Israel.

Methods:

We conducted a retrospective analysis of projects developed in the field of AI at the Artificial Intelligence Center at the Rabin Medical Center, examining trends, clinical domains, and the predominant sectors over a specific period.

Results:

Between 2019 and 2023, data from 49 AI projects were gathered. A substantial and consistent growth in the number of projects was observed. Following the inauguration of the Artificial Intelligence Center we observed an increase of over 150% in the volume of activity. Dominant sectors included cardiology, gastroenterology, and anesthesia. Most projects (79.6%) were spearheaded by physicians, with the remainder by other hospital sectors. Approximately 59.2% of the projects were applied research. The remainder were research-based or a mix of both.

Conclusions:

Developing technological projects based on in-hospital medical data, in collaboration with clinicians, is promising. We anticipate the establishment of more centers dedicated to medical innovation, particularly involving AI.

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