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Medical in sentence

2382 examples of Medical in a sentence

And my colleagues, who had known me since medical school, in that place, said, "Don't worry, Shep.
He wraps it around my leg, picks me up a second time, walks me to a vehicle, and he's able to get me to medical attention.
It's jet engines, locomotives, gas turbines, medical devices, communicating seamlessly with each other and with us.
Today, nurses spend an average of 21 minutes per shift looking for medical equipment.
St. Luke's Medical Center in Houston, Texas, which has deployed industrial Internet technology to electronically monitor and connect patients, staff and medical equipment, has reduced bed turnaround times by nearly one hour.
Another medical center, in Washington state, is piloting an application that allows medical images from city scanners and MRIs to be analyzed in the cloud, developing better analytics at a lower cost.
I'd started off as a medical conservative.
One of the key areas we've been working on recently is medical devices, and while it may not be obvious that medical devices have something in common with Iraq's electricity grid then, there are some commonalities.
And most medical devices, we've learned, as we've dug in, are really designed for Westerners, for wealthier economies.
So we published some articles in the academic press, in medical journals, in finance journals.
"I have two medical certificates to prove it."
And, of course, I always tell them that I am not a medical professional, and that, if possible, they should talk to a doctor.
But the underlying cause is still a medical mystery.
Cheap meaning sort of the cost of the military, not the cost of medical care.
So in other words, I need to tell you everything I learned at medical school.
The first is it challenges one of the orthodoxies that we learnt at medical school, or at least I did, admittedly last century, which is that the brain doesn't repair itself, unlike, say, the bone or the liver.
Think of where that takes us when we can combine genomic data with clinical data with data about drug interactions with the kind of ambient data that devices like our phone and medical sensors will increasingly be collecting.
Soon comes the medical discovery that many of these lifeforms are actually causes of terrible human diseases.
We got a survey done on medical conditions with people who have similar issues, and I look at medical records, and I say, wouldn't it be amazing if everyone's medical records were available anonymously to research doctors?
And when someone accesses your medical record, a research doctor, they could see, you could see which doctor accessed it and why, and you could maybe learn about what conditions you have.
Let me go — (Applause) LP: So I guess I'm just very worried that with Internet privacy, we're doing the same thing we're doing with medical records, is we're throwing out the baby with the bathwater, and we're not really thinking about the tremendous good that can come from people sharing information with the right people in the right ways.
It was actually retracted from the journal Lancet, in which it was published, and that author, a physician, had his medical license taken away from him.
My friends, many in their 50s and 60s, were looking at a downward mobility, a work-for-life proposition, just a job loss, medical diagnosis or divorce away from insolvency.
Psychologists, medical scientists, economists were all interested in finding out the rules that govern the way all of us behave.
Now in medical science, we don't want to know, necessarily, just how cancer works, we want to know how your cancer is different from my cancer.
In patients who, unfortunately, are suspected of these diseases, an expert physician first orders very expensive medical imaging technologies such as fluorescent imaging, CTs, MRIs, to be performed.
As you can see, this is a very resource-intensive process, requiring both expert physicians, expensive medical imaging technologies, and is not considered practical for the developing world.
Large amounts of data, expert physicians and expert medical imaging technologies.
We have invented a variety of unorthodox AI architectures to solve some of the most important challenges facing us today in medical imaging and clinical trials.
For our first goal, instead of starting with tens and thousands of these very expensive medical images, like traditional AI, we started with a single medical image.
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