A Scoping Review of Artificial Intelligence as a Medical Device for Ophthalmic Image Analysis in Europe, Australia and America
- In 2022, a survey of 3,000 nurses and doctors revealed that 69% were overwhelmed by excessive patient data volume.
- This data overload results from challenges in extracting, contextualizing, and integrating information into clinical workflows.
- Some healthcare systems use AI to automate data extraction, streamline reporting, and analyze remote monitoring data for actionable insights.
- The American College of Physicians identified efficient sharing of patient information as a fundamental element in enhancing coordination of care and minimizing mistakes.
- AI adoption could enhance diagnosis and treatment by enabling proactive, integrated care and reducing administrative burdens in the healthcare sector.
13 Articles
13 Articles
A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America
This scoping review aims to identify regulator-approved ophthalmic image analysis artificial intelligence as a medical device (AIaMD) in three jurisdictions, examine their characteristics and regulatory approvals, and evaluate the available evidence underpinning them, as a step towards identifying best practice and areas for improvement. 36 AIaMDs from 28 manufacturers were identified – 97% (35/36) approved in the EU, 22% (8/36) in Australia, an…
FDA Plans to Integrate Artificial Intelligence for Medical Device Oversight and Data Analysis
The U.S. Food and Drug Administration (FDA) has announc […] The post FDA Plans to Integrate Artificial Intelligence for Medical Device Oversight and Data Analysis first appeared on GeneOnline News. The post FDA Plans to Integrate Artificial Intelligence for Medical Device Oversight and Data Analysis appeared first on GeneOnline News.
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