A Concept for Integrating AI-Based Support Systems into Clinical Practice
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
The integration of artificial intelligence (AI) algorithms into clinical practice holds immense potential to improve patient care, but widespread adoption still faces significant challenges, including interoperability issues. We propose a concept for the agile development of an IT platform to integrate AI-based applications into clinical workflows for a use case in ophthalmology.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 643-644 |
| Number of pages | 2 |
| Journal | Studies in health technology and informatics |
| Volume | 316 (2024) |
| Publication status | Published - 22 Aug 2024 |
| Peer-reviewed | Yes |
External IDs
| ORCID | /0000-0003-0154-2867/work/166761925 |
|---|---|
| ORCID | /0000-0001-5094-1456/work/166763874 |
| ORCID | /0000-0002-1887-4772/work/166764626 |
| ORCID | /0000-0002-9888-8460/work/166764820 |
| Scopus | 85201998503 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
ASJC Scopus subject areas
Keywords
- Algorithms, Artificial Intelligence, Decision Support Systems, Clinical/organization & administration, Electronic Health Records, Humans, Ophthalmology, Systems Integration, Workflow, Artificial intelligence, SMART on FHIR, Clinical Decision Support Systems, Interoperability