WEBVTT 00:00.519 --> 00:02.880 What if artificial intelligence could 00:02.880 --> 00:05.440 assist first responders and making 00:05.440 --> 00:07.750 split-second medical triage calls ? 00:08.039 --> 00:10.319 Mass casualty events can overwhelm 00:10.319 --> 00:12.479 human decision making . DARPA is 00:12.479 --> 00:14.423 pushing artificial intelligence to 00:14.423 --> 00:16.629 bring speed , consistency , and life 00:16.629 --> 00:18.740 saving precision to emergency medical 00:18.740 --> 00:20.610 triage . Teams are using their 00:20.610 --> 00:22.777 expertise in machine learning to train 00:22.777 --> 00:25.319 their models on real world data . These 00:25.319 --> 00:27.486 models are designed to detect patterns 00:27.486 --> 00:29.940 in the data . And ultimately , these 00:29.940 --> 00:32.051 patterns will be used to inform their 00:32.051 --> 00:34.569 triage decisions . A lot of the models 00:34.569 --> 00:36.625 that are available right now off the 00:36.625 --> 00:38.849 shelf that have been trained for heart 00:38.849 --> 00:40.905 rate and respiration rate and things 00:40.905 --> 00:43.659 like that are all models that have been 00:43.659 --> 00:46.520 done in a clean environment . It's a 00:46.520 --> 00:50.319 lot to teach a robot to reason . It's 00:50.319 --> 00:52.597 very , very difficult . So for example , 00:52.597 --> 00:54.597 some fields like respiratory rate , 00:54.597 --> 00:56.486 heart rate , they're very easy to 00:56.486 --> 00:58.597 calculate when we are in a controlled 00:58.597 --> 00:58.560 environment . On the other hand , when 00:58.560 --> 01:00.504 we're in the wild , when we cannot 01:00.504 --> 01:02.504 touch the people , it's very , very 01:02.504 --> 01:04.560 difficult to get the vitals . In the 01:04.560 --> 01:06.449 systems challenge , sophisticated 01:06.449 --> 01:08.282 algorithms guide semi-autonomous 01:08.282 --> 01:10.919 systems to navigate chaotic disaster 01:10.919 --> 01:13.839 environments . Identify casualties , 01:14.160 --> 01:16.550 pinpoint heart rates , respiration 01:16.550 --> 01:18.919 rates , and vital signs , and 01:18.919 --> 01:21.190 prioritize victims for rescue . In the 01:21.190 --> 01:23.459 data challenge , powerful algorithms 01:23.459 --> 01:25.720 sift through massive real world , often 01:25.720 --> 01:28.519 noisy data sets , identifying features 01:28.519 --> 01:30.575 and patterns in the vitals data that 01:30.575 --> 01:32.297 could indicate the need for an 01:32.297 --> 01:34.408 intervention . The goal is to prepare 01:34.408 --> 01:36.630 the AI for anything , so having as much 01:36.630 --> 01:38.852 casualty data as possible . Possible is 01:38.852 --> 01:41.186 important in training and tuning the AI . 01:41.186 --> 01:43.297 So one of the things that we're doing 01:43.297 --> 01:43.254 is working with the trauma surgeons to 01:43.254 --> 01:45.175 see if these algorithms could be 01:45.175 --> 01:47.614 installed potentially in trauma bays to 01:47.614 --> 01:49.725 help not just in field environments , 01:49.725 --> 01:51.892 but also in hospital settings . Making 01:51.892 --> 01:53.725 decisions in these situations is 01:53.725 --> 01:55.836 incredibly difficult . Information is 01:55.836 --> 01:58.175 limited , time pressure is high . Data 01:58.175 --> 02:00.235 is oftentimes confusing , and 02:00.235 --> 02:02.559 uncertainty is ever present . These 02:02.559 --> 02:04.503 nuanced decisions are often highly 02:04.503 --> 02:06.670 variable between any two individuals . 02:06.760 --> 02:08.816 That's why we are rigorously testing 02:09.160 --> 02:11.600 and keeping humans in the loop . A lot 02:11.600 --> 02:13.489 of times a real medic will take a 02:13.489 --> 02:15.433 person , roll them over , and do a 02:15.433 --> 02:17.489 blood sweep on their back . Um , and 02:17.489 --> 02:19.600 our robots don't do that . So I would 02:19.600 --> 02:22.080 say that is probably one of the most 02:22.080 --> 02:24.302 difficult things to tell and one of the 02:24.302 --> 02:26.919 most important to validate vital signs 02:26.919 --> 02:29.086 like heart rate and respiratory rate . 02:29.086 --> 02:31.490 We have our human actors wear standard 02:31.490 --> 02:33.520 off the shelf equipment that more 02:33.520 --> 02:35.576 commonly you would . Use when you're 02:35.576 --> 02:37.242 running or cycling , and that 02:37.242 --> 02:39.242 calculates your heart rate and your 02:39.242 --> 02:41.464 respiratory rate , and those values are 02:41.464 --> 02:43.409 used to compare to what the robots 02:43.409 --> 02:45.298 assess . Most exciting about this 02:45.298 --> 02:47.131 battle of algorithms is that the 02:47.131 --> 02:49.187 lessons learned from the DARPA TrioS 02:49.187 --> 02:51.353 Challenge could change the way we save 02:51.353 --> 02:51.695 lives in mass casualty incidents .