MIT researchers are developing AI for tracking sensors in the body with wireless signals



Researchers at MIT & # 39; s Computer Science AI Lab (CSAIL) are developing methods for using wireless radio signals to detect sensors in the human body. The ReMix system can be used to find implantable microchip implants, a technique that the makers hope they can ever help with medical imaging, administering drugs to specific parts of the body or monitoring the movement of tumors.

A survey of their findings will be presented this week during the international SIGCOMM conference in Budapest, Hungary.

The first tests were carried out by placing a microchip in a fake tumor and placing the fake tumor in various forms of animal tissue, such as a whole chicken, pork belly or chicken fat containers or ghostly human tissue.

The system was created in collaboration with researchers from the Massachusetts General Hospital. Professor Dina Katabi, who led the study, used wireless signals to track people's movement or to measure a person's breathing or heartbeat through walls.

ReMix can today detect the location of a microchip with an accuracy of 1.4 centimeters, although Katabi believes that the AI ​​must be within millimeters of accuracy to be considered in a clinical environment.

If ReMix grows accurately, it could also help with proton therapy for the treatment of cancer. Since the treatment method requires the use of large amounts of radiation, it is necessary to determine the exact location of invasive cancer cells.

CSAIL's work is the latest development in a series of attempts to explore possible applications of radio waves with implantable devices to help people. In June, researchers from MIT announced the establishment of the In Vivo Networking (IVN) system, a wireless system for feeding devices that have been implanted in the human body.

In June, researchers from Caltech also debuted a sensor that has been hanging in someone's eye for years to pass data on pressure build-up, an indication that a person can have glaucoma, a major cause of blindness.

In other recent developments in health care, which are working on crossing clinical barriers and become available everywhere, Google's DeepMind Health published a paper last week together with ophthalmologists and researchers from the Moorfields Eye Hospital and University College London. is that the AI ​​treatment for more than 50 eyes can recommend diseases with an accuracy of 94 percent.


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