The MRI company collects the cash. 💰 But who pays for everything that comes AFTER the scan? Incidental findings → physician visits → more imaging → biopsies. Dr. Matt Davenport explains how the costs of cash-pay screening can quietly shift to insurers—and everyone sharing the bill. 🎧 Take a listen! #Radres #Radiology #MRI #Medtwitter @DavenportMatt @UMichRadiology

🚨 Buyer beware: Just because a screening test CAN find cancer doesn’t mean it SHOULD be used to screen everyone. Whole-body MRI is an appealing proposition—but the evidence is far more complicated than the sales pitch. 🎙️Dr. Matt Davenport on why physicians must communicate the uncertainty, not just the promise. #Radres #Radiology #medtwitter @DavenportMatt @UMichRadiology

We know whole-body MRI can detect things. But how often does that detection improve lives? And how often does it trigger unnecessary interventions or harm? Dr. Matt Davenport explains why we still can’t reliably quantify either side of the equation. 🎧 Listen to the full episode now! #radtwitter #Medtwitter #Radiology #Radres #MRI @DavenportMatt @UMichRadiology

We know whole-body MRI can find things. But what happens AFTER we find them? 🤔 Dr. Matt Davenport raises 3 questions we still can’t adequately answer: 🔹 What are the benefits? 🔹 What are the harms? 🔹 Why should society foot the bill for downstream workups from a cash-pay screening test with unproven benefit? 🎧 Watch the clip, then listen to the full episode! #Radres #Radiology #Radtwitter #Medtwitter

We can scan the whole body with MRI. But should we? Whole-body MRI is booming—and Dr. Matt Davenport joins us to ask whether the evidence has caught up with the hype. 🎧 Listen to the new Contrast & Clarity with the @JACRJournal and get your FREE CME now! shorturl.at/09xp4 #Radres #Radiology #Medtwitter @DavenportMatt @UMichRadiology

The clock matters. But the patient matters more. 🎙️ Nadja Kadom, MD on why faster should never come at the expense of better care. @Nkpiano #Radres #Radiology #Radtwitter #Medtwitter

4 days vs. 4 minutes? Of course turnaround time matters. ⏱️ But the problem starts when “an important metric” becomes “THE quality metric.” 🎙️ Anand Singh, MD on why speed belongs in the conversation—but alongside accuracy, communication, safety, and the other things that define great radiology. #Radiology #Radtwitter #Medtwitter #Radres @JACRJournal

🤖 As automation helps some radiologists move through the worklist faster, what happens to TAT as a meaningful benchmark—especially when access to those tools isn’t equal? 🎙️ Anand Singh, MD on why the AI era may force us to rethink what we measure. Listen to the full episode here: shorturl.at/s4Tdm #Radres #Radiology #Radtwitter @JACRJournal

September issue of the @JACRJournal is short. The takeaways are not. 👀 🤖 Does radiology AI actually pay for itself? ⚠️ What happens when the biopsy needles run out? 🏆 Is radiology ready for the Olympics? 🧠 And where do diagnostic errors really happen? We read the issue. You get the TLDR. 🎙️ Listen now shorturl.at/olNkm #Radres #Radiology #Radtwitter #Medtwitter

What if turnaround time isn’t the outcome we should be chasing at all? ⏱️ 🎙️ Nadja Kadom, MD makes the case for moving beyond “How fast was the report?” toward a spectrum of outcomes that actually define good radiology. @Nkpiano @JACRJournal #Radiology #Radtwitter #Radres

Can you really benchmark speed when no two radiology practices look the same? Case complexity. Modality. Staffing. Teaching. Workflow. Patient population. 🎙️ Nadja Kadom, MD explains why a single national turnaround-time benchmark may create a deceptively simple answer to a very complicated question. @Nkpiano @JACRJournal #Radiology #Radtwitter #Radres

If we reduce radiology to turnaround times and productivity, we risk reducing radiologists to widget makers ⚙️ Automation may help us catch up with volume—but then comes the bigger question: What will we do with that capacity to create more value for patients? 🎙️ Anand Singh, MD on thinking beyond speed. #Radres @JACRJournal #Radiology #Radtwitter

What if turnaround time is just one gauge on the dashboard—not the destination? ✈️ In aviation, safety isn’t judged by a single metric. Radiology shouldn’t be either. 🎙️ Listen to Anand Singh, MD and his take. One number can’t tell you if the system is flying safely. @JACRJournal #Radres #Radiology #Radtwitter

Something has to give. If radiologists are expected to hit ever-faster turnaround times while volumes and complexity keep rising...what are we sacrificing to get there? 🎙️ Nadja Kadom, MD on the unintended consequences of making speed the target. #Radiology #Radres #Radtwitter @Nkpiano @JACRJournal

🚨 Are we measuring radiology quality… or just measuring speed? Turnaround time is easy to track. But a 10-minute report that misses a cancer is still a missed cancer. 🎙️ NEW Contrast & Clarity: Drs. Nadja Kadom & Anand Singh talk about The Turnaround Time Trap—and ask what we should be measuring instead? 🎧 Listen now 👉 shorturl.at/sqlV9 #Radres #Radiology #Radtwitter @JACRJournal @Nkpiano

As demand rises, it slowly eats away at the slack in the system—until eventually, there’s nothing left to absorb the next study. Then demand doesn’t just increase. It exceeds what the system can sustain. 🎧 Eric Christensen, PhD explains the tipping point. Listen to the full episode now: shorturl.at/0mGek #radres #Radiology #Radtwitter @NeimanHPI @JACRJournal

Radiologists can only give "a little more" for so long. Read a little faster. Stay a little longer. Pick up one more shift. But eventually, "a little more" runs out. 🎧 Eric Christensen on what happens when radiology runs out of slack. @NeimanHPI @JACRJournal #radres #radiology #radtwitter

For years, imaging volumes climbed. But turnaround times barely moved. Then, suddenly, the curve broke. 📈 🎙️Eric Christensen, PhD explains why what happened over the last few years may be a warning that radiology has finally run out of slack. 🎧 Listen to the full episode now: shorturl.at/0mGek #Radiology #Radtwitter #Radres @NeimanHPI @JACRJournal

🚨 Radiology may have officially run out of slack. For years, we handled more imaging by working harder and reading faster. Now? The data suggest we have hit maximum capacity. 🎙️ Eric Christensen, PhD joins us to ask: What happens when we simply can’t read any faster? Listen to the new episode now! 👉 shorturl.at/kPDCt #Radres #Radiology #Radtwitter @NeimanHPI @JACRJournal

Have preference signals become a preference tool...or a screening tool? 🤔 If programs increasingly expect a signal before offering an interview, applicants are forced into a high-stakes strategic game. Dr. Christopher Keshishian shares why this shift may actually increase applicant anxiety. 🎧 Listen below. ⬇️ #Radres #Medicalstudent #Match2026 #radiology @TheNRMP