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What can AI agents actually do in radiology?
Not AI reading scans. What an AI agent actually does across reception, booking, referrals, capacity and follow-up, and what it must never touch.
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We called 100 radiology practices after hours. Here is what answered.
Original research: the same 100 radiology practices, rung on Sunday evening. Not one reached a person, and eleven were answered by an AI agent.
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We called 100 radiology practices. Here is what we found.
Original research: we rang 100 Australian radiology practices and timed every call. Eight reached a person straight away; the median wait was 90 seconds.
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Google Ads for radiology: how to turn clicks into booked scans
Buying the click is the easy part. How radiology networks should measure Google Ads through to bookings, attendance and capacity, with a calculator.
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Google is not sending patients to your website
653 radiology keywords, 404,500 Australian searches a month. Nearly 30% are 'near me', which Google answers with a map and a call button, not your site.
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The real cost of your radiology front desk
Imaging centres lose around 18% of inbound calls to voicemail. What reception actually costs, and why replacing the front desk is the wrong target.
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Inside modality-aware booking
Why a generic 'book an appointment' agent can't run a radiology front desk, modality rules, prep, contrast and referral checks, and what we built instead.
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TriageWorkflow v1.01: radiologist rostering
Specialist on-call schedules now drive what TriageVoice and TriageChat say is available, in real time, across every clinic in the group.
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Why radiology first?
Imaging is the most operationally complex specialty we could have chosen, modality rules, referrals, prep, rostering. That's exactly why we chose it.
Most of what we write about here started as a problem in somebody's clinic. We can look at yours.