MIT researchers develop AI sensors inside the body

AI sensors inside the body

MIT researchers develop AI sensors inside the body

Previously, we have talked about GoogleBrain’s AI assistant for doctors, as well as how the researchers at Caltech created artificial intelligence from DNA. Now, the researchers at Massachusetts Institute of Technology are working on harnessing the power of artificial intelligence for sensors dubbed as a “GPS for inside your body“. In this blog post, we will unpack what this actually means.



Professor Dina Katabi of MIT leads the team at the Computer Science and Artificial Intelligence Laboratory (CSAIL). They are working on this project with researchers from Massachusetts General Hospital (MGH). The team’s vision for these nano sensors is to create a faster, lower-cost option for medical imaging which is less invasive than the traditional methods.


The technology, called ReMix, uses wireless radio signals to track implants inside the human body. These implants simply reflect the signals, and therefore require no external power source. As skin also reflects signals, the team has developed a way to separate these signals from the ones of the implants.


To test the technology, the researchers experimented with a fake tumor. They attached one of the implants to it and came to the conclusion that the technology could indeed track its movements.

The next invention to revolutionize the medical industry?


Currently, ReMix’s tracking accuracy is at 1.4 centimeters. In order to put the technology into real use, the developers aim to turn that into a few millimeters. If the team achieves this, the technology could actually track tumors in the future.


The technology could be developed even further. If the ReMix’s data was to be combined with other medical data, it would open up more possibilities. For example, these kinds of implants could eventually deliver medicine to specific parts of the body. Furthermore, the technology could help with cancer treatment. This could improve the accessibility and accuracy of proton therapy significantly.

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