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