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Eric Topol
physician-scientist, author, editor. My new book is
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Eric Topol 11 h
they mention the source in the Methods section:
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Eric Topol 14 h
Will replace ophthalmologists? No. Wisdom from et al Adds to this: "Machines will not replace physicians, but physicians using AI will soon replace those not using it."
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Eric Topol 16 h
Odgovor korisniku/ci @DrHughHarvey @TheLancet
Right, Hugh. Worth emphasizing that all 4 randomized trials were conducted in China. The congenital cataracts one was small, multi-center in a condition
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Eric Topol 18 h
Did you know there was been more than doubling of nurse practitioners in the US in just 7 years? , Peter Buerhaus and Douglas Staiger discuss the implications, which include ~80,000 less RNs
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Eric Topol 18 h
Odgovor korisniku/ci @LancetGastroHep @TheLancet i 3 ostali
To cut to the chase, in this RCT from China using a sham control, there was a highly significant -improvement in adenoma and polyp detection Caveats in the accompanying editorial and 's thread by
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Eric Topol 19 h
Odgovor korisniku/ci @DrEugeniaCheng @KurtLass1 i 2 ostali
From the consensus statement, the need for gender and ethnicity specificity
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Eric Topol proslijedio/la je tweet
Eric Topol 4. velj
You can say that again. "There's no algorithm for [genuine] empathy." Period. Outstanding. by Hannah Wild med student
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Eric Topol 21 h
The 1st double-blind, randomized clinical trial of is in (not radiology, pathology, dermatology or ophthalmology) and aptly summarized in Tyler's thread👇 (Keep an eye out for our essay in next week's on this topic)
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Eric Topol 21 h
Odgovor korisniku/ci @DrEugeniaCheng @NatureRevEndo
corrections: 1. Waist (not weight) circumference 2. Stop it with BMI fixation. Waist circumference is a better metric Need ☕️☕️
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Eric Topol 21 h
Odgovor korisniku/ci @DrEugeniaCheng @NatureRevEndo
Stop it with BMI. Use weight circumference. It's a vital sign. An important consensus statement
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Eric Topol 22 h
The editing DNA story is getting enriched with the potential (and challenges) of changing RNA by w/
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Eric Topol 22 h
The power of N of 1 in medicine —How single-cell RNAseq led to successful Rx of a very serious adverse drug run —a different "deep learning"
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Eric Topol 23 h
Our digital times :-)
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Eric Topol 4. velj
Odgovor korisniku/ci @IshaniG @AnnalsofIM i 6 ostali
Back to you, Ishani. Another great contribution 👍🙏
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Eric Topol 4. velj
Odgovor korisniku/ci @AnnalsofIM @IshaniG i 5 ostali
The outrageous "Super Bowl" pricing is leading to 1. Patients (insured) not seeking primary care by 2. Adversely affect on low-income households
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Eric Topol 4. velj
You can say that again. "There's no algorithm for [genuine] empathy." Period. Outstanding. by Hannah Wild med student
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Eric Topol 3. velj
"I have been privileged to offer but also gratitude for the cumulative lessons passed on to me by my patients, the gift of their stories & lives, & the recognition that we all experience the seasons of life."—Ronald Loge, "Last Call to Wisdom"
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Eric Topol 3. velj
Odgovor korisniku/ci @NatureMedicine @IdoYofe i 9 ostali
Another approach relies on mathematical modeling for combos that address the interactions (since they're so simple, Figure😉) and the goal of modulating tumor perfusion. by
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Eric Topol 3. velj
My in-depth (~2 hr) discussion w/ on medical matters, getting started in cardiology, the Vioxx story, the gut , and the gift of time, and a lot more
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Eric Topol 3. velj
On the systemic corruption of science by re: new book The Triumph of Doubt
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