| 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
- ccmm
- ai-based risk stratification
- gmai
- Interoperability
- krcore
- legal responsiblity
- patient's safety
- system reform
- healthcare policy
- digital medicine
- three lows framework
- machine learning in nephrology
- medical reform
- essential medical care
- chronic kidney disease (ckd)
- krcdi
- unintended consequences
- continuity of care
- kidney disease prediction
- tertiary hospital structural reform pilot program
- ai in healthcare
- retinal imaging for ckd
- mutimodal ai
- himss
- deep learning in medical imaging
- national healthcare insurance
- early detection of ckd
- ai-powered diagnosis
- on-promise
- acute care patient discharge support and community linkage pilot project
Archives
- Today
- Total
목록2025/03/20 (1)
Connected Care
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