Name: How A.I. Is Making Doctors More Efficient
Uploaded: 2019-04-03
Duration: 5 min 17 s
Description: A behind-the-curtain look at one A.I. technology that’s already transforming patient care.

Good afternoon everyone. Very happy to be here, will soon see why I'm so excited. My San Diego based nephew is supposed to be in the crowd as well, so, hi Leon. And so thank you for having us, and this is not going to be the typical presentation about deep learning and neural networks And we're also not owing to tel you about the journey of how hard it is to build a healthcare starups and why we are trying to climb to the top of the mountain. And the reason is that we are already on the top of the mountain. It's called the IA hype mountain. So there we are at the very top, you'll see [ UNKNOWN ] inc Rewrites after IoT devices. Remember what those are? Very boring, we forgot all about them. And this is how AI and hype curves works. So in the next couple of years you will be here. Come in tomorrow [ UNKNOWN ] brainstorm sessions. You will hear about exoskeletons and Smart dust, whatever that means. Well, we will be working in the trenches for pretty much the next four or five years to install our technology hospital by hospital talking with the IT department of every hospital, hiccup, compliance GDPR FDA regulation and all this morning work in the shadowed part of the hype curve. But before we say farewell and good bye and be forgotten we wanted to share with you few cases that were sent to us by few of our hospital collaborators. Real cases that happened in the last few weeks ., obviously the pictures are illustrated, but hospital names and the cases are real. So, let's call it the story of the free grandmothers for lack of a better word. So grandmother number one reached to [ UNKNOWN ] hospital manor with head trauma. They do a neurological examination and it turns out to be ok The radiologists after the night shift very [ UNKNOWN ] decide that there's no evidence for inter [ UNKNOWN ] bleed, a brain bleed. Luckily our system already deploy a new product mode, a letter the department had that this lady has a growing bleeding in her brain. They called her in she was about to leave the hospital They treated her emergently and everything is okay now. This is just to show they can already provide [ UNKNOWN ] saving patient life by reducing misdiagnosis that are caused to human fatigue. Case number two. Grandmother number two. A bit older lady. Came to a different hospital in Tel Aviv. Central with a specific request from the GP to check whether her lung is ruptured. Whether she has whats called pneumothorax. Chest X- ray was conducted, the radiologists decided that there is no pneumothorax and there was a mild pulmonary edema. And because of the specific request of the GP and she was considered to go to a CT scan to check for the pneumothorax with all the [ UNKNOWN ] time when the [ UNKNOWN ] radiation. Again luckily system was rarely [ UNKNOWN ] pilot mode [ UNKNOWN ] to the department that pneumothorax found within less one minute on the chest x ray. And in clinical trials we recently conducted we saw that we can reduce more than 85 % of the time it takes to see those acute conditions by the team. So this is yet another significant impact that AI is bringing right now in health care. And last case, all the way from Europe. Guess UK still Europe right so this is the UK at Oxford university and grandmother number of fields sent to be checked for cancer and so CT scan was conducted thankfully they discovered she has no cancer she was released back home Over there, our system was deployed commercially after an extensive pilot period. And the system was checking for a unique thing, a vertebral fracture in the spine, those vertebral fractures are the key indicator for coming of the product fracture and they are often missed by radiologists who are Very tired, very overwhelmed in looking for the cancer. The system found a vertebral fracture. The nurses- admins that are activating the National Fracture Prevention Program called the patient in, and she was very grateful that they showed her the fracture and that She is going to be treated to prevent an [ UNKNOWN ] Fracture, She is 1 of the 100 patients that we already treated since the beginning of the year due to the results of this algorithm, And just for the Oxford Shire Trust the NHS benefit will amount to more than 3. 3 million pounds in next 5 years just from this algorithm and from prevention of [ UNKNOWN ] Fractures So the [ UNKNOWN ], the [ UNKNOWN ] and the crowds talk to me later. You will have the same assistance as well. So here we are saying farewell and goodbye before we are moving to the shadowed part of the high curve and stay tuned for more news from us and thank you very much for having us here [ APPLAUSE ] [ BLANK_AUDIO ]

How A.I. Is Making Doctors More Efficient

Tech

A behind-the-curtain look at one A.I. technology that’s already transforming patient care.