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Ross Prager

@ross_prager20,201 subscribers

Intensivist ⚕️ POCUS | Founder https://t.co/MFBDTL2cDM - move from draft to journal submission faster.

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(1/9) Academic writing in 2025 is still broken. Word. ChatGPT. Reference managers. Formatting. Reviewer #2. Copy paste. We built a better workflow. Introducing Livewrite, your new AI research assistant that runs directly inside Microsoft Word.

(1/9) Academic writing in 2025 is still broken. Word. ChatGPT. Reference managers. Formatting. Reviewer #2. Copy paste. We built a better workflow. Introducing Livewrite, your new AI research assistant that runs directly inside Microsoft Word.

35,976 görüntüleme

How can a 99% accurate medical test give you a 9% chance of having the disease if it comes back positive? 🤔 If you are in medicine this is the SINGLE most important diagnostic testing concept to know. Welcome to the difference between specificity and positive predictive value. Sensitivity & specificity are fixed test properties. These do not factor how common a disease is (prevalence) Positive Predictive Value (probability a positive test reflects having a disease) factors in prevalence and is actually more important to clinicians than sens/spec. It is harder to figure out though because we need to have a gestault for how prevalent a disease is for the EXACT patient we are seeing. If you have very low prevalence, even with a great test, most positives are false positives. This is why screening low-risk patients can result in many false positives and harm To master this, just play with the calculator yourself and you will see!!!!👇

How can a 99% accurate medical test give you a 9% chance of having the disease if it comes back positive? 🤔 If you are in medicine this is the SINGLE most important diagnostic testing concept to know. Welcome to the difference between specificity and positive predictive value. Sensitivity & specificity are fixed test properties. These do not factor how common a disease is (prevalence) Positive Predictive Value (probability a positive test reflects having a disease) factors in prevalence and is actually more important to clinicians than sens/spec. It is harder to figure out though because we need to have a gestault for how prevalent a disease is for the EXACT patient we are seeing. If you have very low prevalence, even with a great test, most positives are false positives. This is why screening low-risk patients can result in many false positives and harm To master this, just play with the calculator yourself and you will see!!!!👇

15,868 görüntüleme

(1/x) Performing ultrasound in zero gravity is harder than in the ICU... Here's what we learned from studying AI ultrasound in zero gravity trying to detect celestial dust related lung injury 🌙🚀 A 🧵 Made possible by funding from Canadian Space Agency

(1/x) Performing ultrasound in zero gravity is harder than in the ICU... Here's what we learned from studying AI ultrasound in zero gravity trying to detect celestial dust related lung injury 🌙🚀 A 🧵 Made possible by funding from Canadian Space Agency

24,919 görüntüleme

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