A new architectural analysis warns that LLM-driven autonomous agents writing directly to Electronic Health Record (EHR) systems via HL7 FHIR APIs risk silent data corruption, citing a case where a pat…
Healthcare professionals can transition into AI development without leaving their clinical roles by leveraging their domain expertise, according to a guide that emphasizes prompt engineering, understa…
A developer outlines the architectural layers required to move a healthcare AI agent from prototype to production, emphasizing data flow mapping, PHI boundary design, permissioned retrieval, and audit…
Researchers at Indiana University found that AI rewriting of radiology reports causes a 'slop paradox' where tasks that produce cleaner text for multimodal training actually degrade image-text alignme…
A new study finds that vector representations exported from large language model summarization systems can leak sensitive information, even when source documents remain access-restricted. Researchers …