Challenges and Future Perspectives for Artificial Intelligence in Hepatology: Breaking Barriers for Better Care

Abstract

Artificial intelligence (AI) presents a compelling opportunity to revolutionize the practice of hepatology through a myriad of novel approaches ranging from predictive modeling to patient-specific clinical decision support systems. While AI will undoubtedly transform clinical practice in the coming years, there remains an evolving set of challenges to the implementation of AI. In this review article, we address technical and stakeholder barriers to the adoption of AI and potential repercussions if they remain unaddressed. We highlight strategies to mitigate these potential pitfalls and the need for prospective research to confirm model validity. Lastly, we look to the future of what AI in clinical practice will mean for patients and clinicians.