@mashable.com 6 months ago
ChatGPT fails at diagnosing child medical cases. It's wrong 83 percent of the time.
@NEJM_AI 1 year ago
How well does your medical #MachineLearning task align with the problem you are trying to solve? In this clip, @pranavrajpurkar explains what can go wrong. Listen to the full episode: https://ai-podcast.nejm.org/e/dr-pranav-rajpurkar-on-ai-and-radiology/ https://t.co/kVTaajqP1C
@techcrunch.com 2 years ago
Can Medicare save the insurtech market?
@bgr.com 2 years ago
Urgent medicine recall: A serious dosage mistake can lead to overdose and death
The worst technology of 2021
@theverge.com 3 years ago
Hospitals are selling treasure troves of medical data — what could go wrong?
@slashgear.com 3 years ago
Insulin syringes recalled across the globe over risk of injecting wrong dose
@bgr.com 3 years ago
This popular medication was just recalled – talk to your doctor now if you take it
@moorejh 3 years ago
The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms. https://www.wired.com/story/foundations-ai-riddled-errors/ #machinelearning #datascience #deeplearning
@wired.com 3 years ago
The Foundations of AI Are Riddled With Errors
@slashgear.com 3 years ago
Spironolactone recalled after mix-up puts wrong doses in dozens of bottles
@slashgear.com 3 years ago
FDA warns two drugs recalled because the pills were mixed up
@raamana_ 4 years ago
tips to review #MachineLearning papers, esp. in #medicine & #neuroscience: -ask for a flowchart from raw data to final metrics! -don't assume CV (like repeated holdout) and advanced metrics (AUC) are implemented correctly. If you don't follow it drunk, they're likely wrong!
@ewenharrison 4 years ago
Black box models are not acceptable for high stakes decisions in medicine. Models must be interpretable, not just explainable (explanations are wrong by definition). Here’s your great long-read for today by @CynthiaRudin https://arxiv.org/abs/1811.10154 #rstats #DataScience
@theregister.co.uk 5 years ago
In the US? Using Medicaid? There's a good chance DXC is about to boot your data into the AWS cloud
@slashgear.com 5 years ago
Measles outbreaks 2019: Why both sides are wrong
@techcrunch.com 6 years ago
This small robotic stingray could be the future of biological bots
@techcrunch.com 6 years ago
Ourotech is taking the guesswork out of cancer treatment
@mashable.com 7 years ago
A wristband with your medical records could be a life-saver in emergencies
@techcrunch.com 7 years ago
Telemedicine company Syounika Online snags top prize at TechCrunch Tokyo
@gigabarb 7 years ago
RT @rachelking: This changes everything: We've Been Treating Appendicitis Wrong For Years via @FortuneMagazine #FortuneHealth https://t.co/3DFvTckwuC
@CoinDesk 7 years ago
Physicians Say Blockchain Healthcare Ideas in Need of Exam
@WIRED 7 years ago
Not only is armchair diagnosis of a political candidate just plain unscientific, but the disservice it does to the stigma around mental illness can actually ...
@thenextweb.com 8 years ago
Theranos’ Elizabeth Holmes banned from running labs for 2 years
@techcrunch.com 8 years ago
Three Things The Tech Industry Has Right And The Medical Industry Has Wrong
@mathewi 8 years ago
RT @petersims: Wow. "Nearly all of our medical research is wrong" Danielle Teller. Truth tell. @astroteller @pmarca @Bill_George http://qz.com/603356/why-scientific-studies-cant-be-reproduced/
@pmarca 8 years ago
RT @petersims: Wow. "Nearly all of our medical research is wrong" Danielle Teller. Truth tell. @astroteller @pmarca @Bill_George http://qz.com/603356/why-scientific-studies-cant-be-reproduced/
@bizcarson 8 years ago
Always aware of margin of error, but scary to believe that it could be so wrong and affect medication dosages: http://www.wsj.com/articles/theranos-has-struggled-with-blood-tests-1444881901
@theverge.com 8 years ago
Trans fats significantly increase the risk of heart attack and death
@mathewi 9 years ago
RT @loisbeckett: Amazing: @charlesornstein rallying doctors on Twitter to explain why @mcuban's medical advice is wrong.
@venturebeat.com 9 years ago
Your tech predictions are wrong, but they aren’t pointless
@pmarca 9 years ago
RT @cadwego: Half of Dr. Oz’s medical advice is baseless or wrong, study says - The Washington Post http://www.washingtonpost.com/news/morning-mix/wp/2014/12/19/half-of-dr-ozs-medical-advice-is-baseless-or-wrong-study-says/