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