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Updated: Dec 25, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Implementation and design of artificial intelligence in abdominal imaging.
Hailey H Choi1, Silvia D Chang2, Marc D Kohli3
1Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, M-391, San Francisco, CA, 94134, USA.
Artificial intelligence (AI) can enhance patient care in radiology. Careful consideration of AI implementation in areas like bias, trust, risk, and design is crucial for positive patient outcomes.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Healthcare
Background:
- Artificial intelligence (AI) presents significant opportunities to advance patient care in diagnostic radiology.
- Current implementation decisions regarding AI will profoundly influence future clinical practice and patient outcomes.
Purpose of the Study:
- To explore critical considerations for the implementation of artificial intelligence (AI) in clinical radiology.
- To specifically examine the impact of AI on abdominal imaging and prostate cancer diagnostics.
Main Methods:
- Discussion of four key areas: bias, trust, risk, and design in AI implementation.
- Highlighting specific applications of AI within abdominal imaging and prostate cancer.
Main Results:
- Identified unique considerations for AI implementation across bias, trust, risk, and design.
- Demonstrated AI's potential and challenges in specialized areas like abdominal imaging and prostate cancer.
Conclusions:
- Strategic implementation of AI in radiology requires careful attention to ethical and practical factors.
- Addressing bias, trust, risk, and design is essential for maximizing the benefits of AI in patient care, particularly in abdominal imaging and prostate cancer.
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