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