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