A report on AI-assisted clinical workflows highlighted evidence that physician performance can drop when decision-support tools are unavailable. It cites a survey indicating high concern among U.S. healthcare workers about AI-driven deskilling and describes a Poland endoscopy study where adenoma detection fell in periods without a real-time AI system. In the cited study, specialists found at least one adenoma in 28.4% of colonoscopies before the tool, then adenoma detection decreased to 22.4% when the AI system was not used. The framing suggests human performance may adapt to reliance on assistive systems. For biotech and medtech stakeholders deploying clinical AI, the report underscores the operational and training implications of AI availability variability—an issue that can affect study integrity and real-world performance consistency.