Using AI to Predict Injuries From Car Accidents

When a car accident occurs, first responders often have to quickly figure out what injuries may have been sustained. Unfortunately, a good portion of crash-related deaths are due to misdiagnosis. Often injuries are internal and proper diagnosis is not made until it’s too late. To help save lives, one Israeli company is looking to use artificial intelligence to make sure first responders have the information they need when responding to an accident scene.

Tel-Aviv based MDGo is using advanced machine learning to analyze real-time data and medical knowledge to quickly make predictions on the injuries first responders may encounter when arriving at an accident scene. The software relies on information from existing sensors and infrastructure in connected vehicles.

When an accident occurs, the AI will use things like speed, positioning, and angle of impact to measure the physical force on occupants in the vehicle. An algorithm will then translate this data into predictions of possible injuries. This info is immediately transmitted via a cloud-based platform to first responders and trauma centers.

Car Accident AI MDGo - YellRobot
credit: MDGo

First Responders Receive Data Before They Arrive

By having this information available as soon as the accident occurs, first responders can have the proper tools ready beforehand and spend less time assessing the scene. It will also make sure victims are routed to the correct hospital that has the right doctors and equipment to treat their injuries. Having proper information even a few minutes ahead of time can make sure trauma centers are prepared and reduce the likelihood of fatalities.

Using AI to help assess accidents will also cut down on the overextension of resources. For example, during a rollover accident, emergency services often send a life-support medical team to the scene. Data has shown that rollovers often occur at a slower speed and injuries may not need a critical level of support. This allows for more effective use of resources helping to increase efficiency and cut down on costs.

Car Accident AI MDGo - YellRobot
credit: MDGo

Volvo Invests in MDGo’s AI Accident Tech

More than 250,000 vehicles in Israel are already connected to MDGo using an aftermarket device. Since January, the device has been used in about 700 incidents to help predict accident reports. The company hopes in the near future, the car’s connected technology itself will be able to relay the data directly to MDGo. 

MDGo has recently received funding from Volvo through the Volvo Cars Tech Fund which is the company’s venture capital investment arm. This is the Tech Fund’s first investment outside the US and Europe. Volvo plans to help MDGo refine the technology and expand to other markets.

“MDGo’s technology aims to do something that is close to our hearts, which is saving lives,” says Zaki Fasihuddin, CEO of the Volvo Cars Tech Fund. “Their mission as a company seamlessly connects with ours at Volvo Cars, so we are happy to support the continued development of MDGo.”

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