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