[Application and prospects of artificial intelligence from tool empowerment to paradigm reconstruction for whole-course diagnosis and treatment of liver diseases by ultrasound].
Authors
Affiliations (1)
Affiliations (1)
- Department of Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Abstract
The research system and clinical decision-making pathways have been systematically reshaped as the application of artificial intelligence (AI) in the field of ultrasonically has become increasingly mature recently for liver disease imaging. Research focus has shifted at the clinical level from low-dimensional classification and diagnostic tasks to high-dimensional, task-driven intelligent diagnosis and treatment. The underlying algorithms are undergoing a profound transition at the technological level from single-modality to multi-modal collaboration and from isolated feature extraction to spatiotemporal sequential reasoning. Therefore, to provide a forward-looking analysis and reflection on future development trends and existing challenges, this article systematically reviews the latest research progress of AI in the field of liver disease in terms of four aspects of ultrasonography: early-stage screening, precise diagnosis, personalized treatment, and prognostic monitoring.