| 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
- digital medicine
- machine learning in nephrology
- on-promise
- deep learning in medical imaging
- essential medical care
- chronic kidney disease (ckd)
- kidney disease prediction
- continuity of care
- mutimodal ai
- retinal imaging for ckd
- tertiary hospital structural reform pilot program
- krcdi
- Interoperability
- krcore
- ai-based risk stratification
- ai-powered diagnosis
- ccmm
- gmai
- early detection of ckd
- patient's safety
- medical reform
- healthcare policy
- three lows framework
- ai in healthcare
- unintended consequences
- national healthcare insurance
- acute care patient discharge support and community linkage pilot project
- legal responsiblity
- himss
- system reform
Archives
- Today
- Total
목록2025/03/08 (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