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Artificial intelligence in chronic kidney disease management: a scoping review
18
Zitationen
14
Autoren
2025
Jahr
Abstract
There is tremendous potential of integrating AI into clinical care of CKD patients to enable early detection, prediction, and improved patient outcomes. Collaboration among healthcare providers, researchers, regulators, and industries is crucial to developing robust protocols that ensure compliance with legal standards, while minimizing risks and maintaining patient safety.
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Autoren
Institutionen
- National University of Singapore(SG)
- Singapore National Eye Center(SG)
- Singapore Eye Research Institute(SG)
- Duke-NUS Medical School(SG)
- National University Health System(SG)
- Singapore General Hospital(SG)
- Melbourne Health(AU)
- Austin Health(AU)
- Shanghai Jiao Tong University(CN)
- Queen's University Belfast(GB)
- Baker Heart and Diabetes Institute(AU)
- Johns Hopkins University(US)
- University of Manitoba(CA)
- Beijing Tsinghua Chang Gung Hospital(CN)
- Tsinghua University(CN)