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