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
- national healthcare insurance
- ai-powered diagnosis
- ai in healthcare
- tertiary hospital structural reform pilot program
- kidney disease prediction
- unintended consequences
- three lows framework
- machine learning in nephrology
- himss
- essential medical care
- legal responsiblity
- digital medicine
- deep learning in medical imaging
- krcdi
- ccmm
- chronic kidney disease (ckd)
- continuity of care
- medical reform
- early detection of ckd
- gmai
- retinal imaging for ckd
- ai-based risk stratification
- on-promise
- system reform
- mutimodal ai
- Interoperability
- acute care patient discharge support and community linkage pilot project
- healthcare policy
- patient's safety
- krcore
Archives
- Today
- Total
목록yonsei (1)
Connected Care

Digital healthcare is rapidly evolving, with AI and big data playing an increasingly crucial role in patient care. However, it’s not always easy to see where these innovations are happening or how they are being applied in real-world settings.That’s why I found this recent study particularly interesting. It’s not just another theoretical AI project—it’s a study conducted by a Korean research tea..
Healthcare interoperability
2025. 3. 8. 09:00