AI decision support is scaling-up fast — can the evidence keep up?
A recent audit of AI clinical decision support vendors found widespread inaccuracies in system‑generated documentation, including hallucinated content, missed clinical details, and incorrect treatment suggestions that could endanger patients. Researchers caution that rapid deployment of AI decision support in healthcare is outpacing the evidence base needed to ensure safety and manage bias.
About LOG Standards
LOG Standards provides an independent accreditation signal for AI models used in healthcare, helping hospitals, care networks, and AI companies bring clinical AI readiness and governance into clearer conversations.
Our AI Intelligence Briefing tracks the latest developments in AI safety, AI in medicine, mental health AI, clinical AI governance, and regulatory policy — keeping healthcare stakeholders informed about the rapidly evolving AI landscape.