Healthcare AI Needs Forward-Deployed Engineers to Bridge Clinics and Code

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Despite growing capability in building healthcare AI models, the medical field struggles to deploy them safely in real clinical settings, according to neurologist and software engineer Alireza Minagar. He argues that 'medical forward-deployed AI engineers' are needed to act as a bridge between technical teams and clinical staff, translating healthcare needs into workable system requirements. These specialists would oversee the full pipeline — from data ingestion to clinician decision-making — identifying failure points that standard technical monitoring cannot detect. Minagar also advocates for gradual deployment strategies, including silent model evaluation and mandatory kill switches to suspend AI systems when necessary. Without such human interfaces, he warns, even the most accurate AI models risk becoming clinically useless or silently unreliable once live.

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