Next-gen point-of-care tests harness AI to strengthen global health security
Published on: Nov. 15, 2025, 10:14 p.m. | Source: Devdiscourse
AI brings its own validation challenges. Unlike static assays, machine learning algorithms evolve as they ingest new data, meaning that performance can change after regulatory approval. This dynamic nature raises critical questions: How can AI-driven diagnostic tools maintain accuracy over time? Who is accountable for model drift, the developer, the manufacturer, or the regulatory body?
