Discover and read the best of Twitter Threads about #AppleWatch

Most recents (4)

The countdown to #ACC19 has begun!

Here’s a THREAD about the much anticipated #AppleHeartStudy

(results to be presented at 9am THIS Saturday, March 17 at #ACC19 by #EPeeps Mintu Turakhia AKA @leftbundle from @SCCR_Stanford!)

#ACCEP
The #AppleHeartStudy aimed to test the ability of a smartwatch algorithm to detect an irregular pulse consistent with AF, & to estimate its diagnostic yield in a large population:
#ACC19 #ACCEP
The cool thing about the #AppleHeartStudy, is that all of it was done virtually. ALL. OF. IT. Enrollment, consent, study visits, patch monitoring. Here are the #AppleHeartStudy ‘s main objectives in detail:
#ACC19 #ACCEP
Read 15 tweets
Apple has a section of their website answering questions doctors may have regarding their latest #ECG technology. Where are the answers to the REAL questions #patients want to know about? For example, if I get an alert:

#AppleWatch #digitaltech #wearables #PatientAdvocacy
2) when do I confidently ignore, act upon, or wait to make actionable decisions about alerts I’ve received? #AppleWatch #digitaltech #digitalhealth #wearables #Innovation #PatientAdvocacy #healthcare #medtwitter
Read 7 tweets
Closing the loop on #Diagnostics #Tweetorial with example #AppleWatch #AFib #Screening. From a company website: "Atrial fibrillation is a silent killer. The heart arrhythmia causes more life-threatening strokes than any other chronic condition, and will affect 1 in 4 of us."
"But the sad fact is that atrial fibrillation often goes unnoticed: It is estimated that 40% of those who experience the heart condition are completely unaware of it."
Using #AppleWatch technology and #DeepLearning #AI #ML, a device algorithm can reportedly detect atrial fibrillation with high accuracy (c-statistic 93%).
Read 44 tweets
#Tweetorial on #Diagnostics and #Screening interpretation.
An otherwise healthy 40 year old woman comes to you after reading on the internet about a terrible disease that one in a thousand women get, and a highly accurate test that can save her life.
The test is over 99% accurate in people with the disease. For those without disease, the test is only wrong 5% of the time.

You order this test and it comes back positive. The woman anxiously asks you, do I have the disease? What is the chance this woman has the disease?
Assuming they weren't immediately fooled by the "test is only wrong 5 % of the time," most I've asked correctly recognize the stats provided are Sensitivity = 99% and Specificity = 95%, and that the objective is to determine the Positive Predictive Value.
Read 21 tweets

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