| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | |||||
| 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| 10 | 11 | 12 | 13 | 14 | 15 | 16 |
| 17 | 18 | 19 | 20 | 21 | 22 | 23 |
| 24 | 25 | 26 | 27 | 28 | 29 | 30 |
| 31 |
Tags
- krcdi
- krcore
- patient's safety
- himss
- kidney disease prediction
- digital medicine
- machine learning in nephrology
- legal responsiblity
- system reform
- essential medical care
- early detection of ckd
- mutimodal ai
- three lows framework
- chronic kidney disease (ckd)
- tertiary hospital structural reform pilot program
- medical reform
- Interoperability
- ai-based risk stratification
- ai-powered diagnosis
- healthcare policy
- deep learning in medical imaging
- on-promise
- acute care patient discharge support and community linkage pilot project
- retinal imaging for ckd
- ccmm
- gmai
- unintended consequences
- ai in healthcare
- national healthcare insurance
- continuity of care
Archives
- Today
- Total
목록retinal imaging for ckd (1)
Connected Care
AI-Powered Early Detection of Chronic Kidney Disease (CKD): Transforming Nephrology
1. The Importance of Early CKD DetectionChronic kidney disease (CKD) is a major global health challenge, with most patients diagnosed only after losing more than half of their kidney function. Late detection limits opportunities for early intervention, increasing the likelihood of complications such as kidney failure and cardiovascular disease. To mitigate these risks, early diagnosis and risk s..
Healthcare interoperability
2025. 3. 20. 09:00