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