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Doctor, Interrupted: How Multi-Agent AI Revives the Lost Art of Pre‑Consultation

Opening — Why this matters now The global shortage of physicians is no longer a future concern—it’s a statistical certainty. In countries representing half the world’s population, primary care consultations last five minutes or less. In China, it’s often under 4.3 minutes. A consultation this brief can barely fit a polite greeting, let alone a clinical investigation. Yet every wasted second compounds diagnostic risk, burnout, and cost. Enter pre‑consultation: the increasingly vital buffer that collects patient data before the doctor ever walks in. But even AI‑based pre‑consultation systems—those cheerful symptom checkers and chatbots—remain fundamentally passive. They wait for patients to volunteer information, and when they don’t, the machine simply shrugs in silence. ...

November 6, 2025 · 4 min · Zelina
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Paging Dr. Model: When AI Runs the Workup

What if the AI didn’t just answer a question—it ordered the right tests, asked for the right observations, and stopped when it had enough to call the case? A new paper introduces DxDirector-7B, a 7B-parameter medical LLM trained to act as the director of care, not the assistant. Instead of waiting for a physician to assemble clean inputs, the model starts from the patient’s vague chief complaint (e.g., “tummy pain and tired”) and then plans the diagnostic pathway, requesting only those clinician actions that software cannot perform (physical exams, labs, imaging). The goal is twofold: maximize diagnostic accuracy and minimize human workload. ...

August 18, 2025 · 4 min · Zelina