Yale New Haven Health, Keck Medicine of USC, and Hartford HealthCare bring the Aegis Digital Consortium's membership to 14 systems focused on co-developing and deploying new technologies.
New research points to regulatory compliance and operational hurdles as reasons for slower implementation, with 76% of medtech companies not using AI in product processes.
The group will focus on reimbursement, CPT code development, and economic strategy for imaging AI technologies.
Yale New Haven Health, Keck Medicine of USC, and Hartford HealthCare bring the Aegis Digital Consortium's membership to 14 systems focused on co-developing and deploying new technologies.
The FDA grants De Novo authorization for a new device for future five-year breast cancer risk prediction, based on an image alone.
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Rad AI has raised an additional $8 million from four US health systems to expand its generative AI tools that support radiology workflows and follow-up care.
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The tool automatically detects the standard views required for second- and third-trimester fetal heart ultrasound evaluations.
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AI has the power to cut care delays and manage data overload, but trust gaps among clinicians and patients threaten to slow adoption and impact, the report finds.
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Recently cleared by the FDA, the tool leverages deep learning to reduce artifacts in cone-beam computed tomography imaging.
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AI tools are enhancing medical imaging by identifying subtle patterns and anomalies, giving staff an extra layer of support without taking over the diagnostic process.
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Engineers are invited to submit AI-focused studies on medical devices, diagnostics, and biomedical processes for inclusion in JMIR Biomedical Engineering’s upcoming theme issue.
