@RogueRad

Radiologist interested in stories & algorithms

Dark room in the basement
Joined December 2013
Thank you for @KBibbinsDomingo for the opportunity to talk about AI & radiology. I’m glad your fondest memories during residency call was talking with the radiologist about clinical uncertainty!
Cardiothoracic radiologist and associate professor of radiology @Penn @RogueRad recently joined JAMA Editor in Chief @KBibbinsDomingo to discuss how AI could play a crucial role in improving access to medical imaging in diverse settings. ja.ma/3yGv95s
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Every skill has a learning curve & experience matters. The only thing that doesn’t need a learning curve is the Pavlovian endorsement of AI. Maybe the algorithms will come for its cheerleaders first
This is intended to increase the perceived value of doctors, especially radiologists. What it actually does, is quietly admit that the first 10,000 chest X-rays analyzed by a doctor shouldn’t be trusted due to the difficulty. Can’t think of a better AI endorsement.
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Radiology seems very easy, particularly to venture capitalists and some specialists. I’m reminded of the astute observation by the great chest radiologist, the late WT Miller Sr. “the first 10, 000 chest x rays are easy to read”
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I can’t think of a single neuroradiologist who’d be upset if neurologists jumped on the list at 2 am to read a bunch of CTAs of the head & neck for dizziness & slurred speech after a night of partying
Not a single vascular trained neurologist (stroke neurologist) in this country is waiting for a radiologist to interpret the CT scan. I interpret my studies and I do an effective job doing so. By the time the read is back, I’ve already pushed TNK, sent the patient to the angiosuite, and moved on to my next patient.
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AI fatigue has officially replaced “its about value not volume” fatigue.
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An LLM & a radiologist go to a bar. The radiologist orders an Old Fashioned. The LLM snatches the drink & gulps it. Why did you take me drink, asks the radiologist. The LLM replies “you’re just hallucinating”
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If it was down to pure meritocracy I’d be eating Indian food everyday except Sunday. Sunday would be for Szechuan cuisine.
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Whole Body MRI goes Bollywood
While in California, undertook a full-body scan at the Beverley Hills Medical Imaging Clinic run by former Delhiite Puneet Chandak — and ran into an old friend (and more recent critic!) @anupamkher, who was there for the same thing!
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Now you’d be lucky to find a radiologist in a reading room, let alone the referring clinician
Radiology used to have something that was almost invisible because it was so routine: The reading room consult. Rounding teams came down. Surgeons pulled up their cases. Internists brought the scan that didn't quite fit the clinical picture. Sometimes the radiologist solved the problem. Sometimes the clinician supplied one piece of history that completely changed how the images were interpreted. And usually everyone simply walked away a little sharper. But something else was happening during all of those conversations. We were learning each other. As a radiologist, I learned what individual physicians cared about. I knew which findings mattered to a particular surgeon. Which measurements an oncologist was following. Which details a specialist wanted emphasized. What questions they were really asking, even when the order just said "pain." And they learned me. They knew who was reading their study. They knew they could walk in, point at something, challenge an interpretation, or ask, "What do you think?" That relationship created context. It created feedback. It created trust. And over years, it created a kind of institutional knowledge that never appears in the medical record. When radiology becomes a report produced by someone hundreds or thousands of miles away, we don't just lose proximity. We risk losing that entire feedback loop. The report may still be technically excellent. But the radiologist knows less about the physician. The physician knows less about the radiologist. The radiologist sees less of what happened after the report. And both sides lose opportunities to make each other better. The reading room was never just a room. It was where imaging became part of the clinical conversation. We should think very carefully before designing that conversation out of medicine. Inspired by a conversation yesterday with @PaleoOnc . Also @909One and @brianchiong .
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Troponins are beginning to remind me of participation trophies
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Why is Linkedin recommending my job in my department to me? Does it want me to replace me?
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This award was made for me
Wow…Roland Fryer and @BillAckman have created a $1 million prize for academic truth-telling, the Carob Trust Prize for Academic Courage. “The prize awards $1 million each to as many as five social scientists a year who have demonstrated intellectual independence, published findings that were attacked rather than answered, and been validated by the evidence—despite the professional cost. The selection criteria are designed to distinguish courage from contrarianism: Nominees must show a sustained commitment to following logic and evidence regardless of pressure, a willingness to ask questions others avoid, and work that has shifted academic debate, public discourse or policy—often despite being misread, mischaracterized or vilified at the time of publication.”
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What is the going rate for “I’m starting a company using AI to solve a problem facing radiologists. Can you jump on a quick call to share your insights?”
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Here’s my entrance. There once was a radiologist from Isle of Skye, Who feared he’d be replaced by Al, Let’s unite, he said, and all sound the same, But, that could be AI just the same, Then there were no radiologists from Isle of Skye
We should have an AI limerick contest @woojinrad @RSNA
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We should have an AI limerick contest @woojinrad @RSNA
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False positives will keep radiologists salient. False negatives will help lawyers. Bring AI on!
Boxes everywhere. False positives and false negatives left and right. I would gladly pay more than a dollar per exam to make this garbage go away. I honestly can’t wait to dump it. Clearly RadNet must know something I don’t.
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It’s been a while since I named a law in honor of myself. So here goes. The Jha Maxim “optimism in autonomous medical AI is inversely proportional to the time one actually spends in clinical medicine”.
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Words/ phrases which are catchy and should be used more often: noctor
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Words/ phrases which have lost all meaning. “experts say”, “fragmented”, “game changer”, “paradigm”, “paradigm shift”, “burnout”, “radiologist shortage”, “artificial intelligence”. Please add to this list
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