Artificial intelligence is rapidly becoming one of the most heavily promoted technologies in healthcare diagnostics. AI-powered biosensors, automated interpretation systems, and machine-learning-assisted point-of-care platforms are now appearing across hospitals, startups, and decentralized healthcare models worldwide. However, behind the growing excitement, many diagnostics experts argue the industry still faces a quieter problem that AI alone cannot

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