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Adam Rodman
@AdamRodmanMD
Physician, educator, historian, author, podcaster, researcher @BIDMC_IM @HarvardMed @HarvardDBMI, host of @BedsideRounds, AE @NEJM_AI, studies ๐Ÿค–+๐Ÿง . ๐Ÿ––๐Ÿšฒ
Boston, MA
Joined March 2010
Posts
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    In case you were wondering why there hasn't been a new @BedsideRounds in a while ...
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    Everyone is the hospital is working really hard right now, but I especially wanted to thank our residents. You all are being tested like very few generations of trainees have been historically. I really appreciate all that you're doing for your patients.
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    Why do we use godawful blue-background-with-bright-yellow-text for medical school lectures? A ๐Ÿงตon magic lanterns, darkrooms, path dependence, and โ€œthings we do for no reasonโ€ ๐Ÿ‘‡
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    Preprint out today that tests o1-preview's medical reasoning experiments against a baseline of 100s of clinicians. In this case the title says it all: Superhuman performance of a large language model on the reasoning tasks of a physician Link: arxiv.org/abs/2412.10849 A ๐Ÿงตโฌ‡๏ธ
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    I love that in this painting of an attending physician's rounds, you can see how much has changed (and how much hasn't), including the medical student who appears to be using his phone during the encounter (sorry time travelers, it's a notebook)
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    The entire idea of a "physical exam" is a 20th century invention. Seriously, in Rene Laennec could see us auscultating patients' lungs in whom we had just obtained a chest CT, he would lose it.
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    Huge update to our preprint today on the superhuman performance of reasoning models in medical diagnosis! TL;DR โ€“ they don't just surpass humans in meaningful benchmarks, but in actual medical care from unstructured clinical data: A ๐Ÿงตโฌ‡๏ธ:
    Preprint out today that tests o1-preview's medical reasoning experiments against a baseline of 100s of clinicians. In this case the title says it all: Superhuman performance of a large language model on the reasoning tasks of a physician Link: arxiv.org/abs/2412.10849 A ๐Ÿงตโฌ‡๏ธ
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    It's time for me to channel my inner @tony_breu -- which means it's Tweetorial time! So let's talk about azotemia (elevated blood urea nitrogen) after an upper gastrointestinal bleed!
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    So many arguments about what's wrong with medicine today are predicated on imagined (and inaccurate) histories. Let's take some examples from my colleagues who imagine a "golden" age of the exam:
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    American progress notes are > 4 times longer than our colleagues' in other countries (source: pubmed.ncbi.nlm.nih.gov/29801050/)
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    They're called discharge summaries for a reason, not "discharge copy-pasted-crappy-progress-note-that-lists-every-little-thing-that-happened-during-a-hospitalization."
    ๐Ÿ™‹โ€โ™‚๏ธ Whatโ€™s your unpopular opinion in medicine that will get you in this position? #MedTwitter
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    Why are medical podcasts like @thecurbsiders, @BehindTheKnife, @emcrit, and @AFPpodcast so popular for learning? And who is making them? And can they be trusted? We listened to (and coded) the top 100 podcasts on the Apple podcasts US medicine chart to find out! A ๐Ÿงตโฌ‡๏ธ
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    Of all the awards I've won, I think this is most meaningful. No matter my other endeavors, my top goal is to be the best doctor I can to my patients. Thanks so much to all my nursing, therapy, social work, and medical colleagues. You don't know how much this means to me!
    Congratulations to @AdamRodmanMD for being named @BIDMChealth #hospitalist clinician of the year!
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    Itโ€™s time for another #histmed Tweetorial -- this time I'm going to talk about the pesky definition of a fever, and where the 98.6 F average body temp came from! Full disclosure: will use C AND F for temp, but no K or R.