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