AI in Medical Imaging Informatics: Current Challenges and Future Directions
University of Cyprus · University of Louisville · +15 more institutions
Abstract
This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in medical imaging acquisition technologies for different modalities, highlighting the necessity for efficient medical data management strategies in the context of AI in big healthcare data analytics. It then provides a synopsis of contemporary and emerging algorithmic methods for disease classification and organ/ tissue segmentation, focusing on AI and deep learning architectures that have already become the de facto approach. The clinical benefits of in-silico…
Citation impact
- FWCI
- 25.60
- Percentile
- 100%
- References
- 295
Authors
16Topics & keywords
- Data science
- Computer science
- Big data
- Health informatics
- Informatics
- Medical imaging
- Health care
- Context (archaeology)