In the past two weeks, the frontiers of industrial technology review, brain-computer interface technology has made sci-fi become a reality; DeepMind has set a small goal: using machine learning to treat cancer; how effective is artificial intelligence in screening breast cancer? 30 times faster than the old drivers of the hospital; ultrasound gene therapy: a new way to treat heart disease and cancer.
1. Spiritual control? telepathy? Brain-computer interface technology makes science fiction a reality
Recent advances in brain-computer docking are turning the scientific illusions that directly convey thoughts into the brain into reality. A series of studies published in the past few years have announced the direct transmission of brain activity between animals, between humans and even between humans and mice. This "brain-brain docking" (BBI) enables real-time direct transmission of brain activity by connecting the brains of two individuals. Although the current brain-computer interface technology is incomparable to the description in science fiction, it is a little bit of reality by manipulating the machine through the idea.
2.DeepMind sets a small goal: using machine learning to treat cancer
Foreign media The Verge reported that DeepMind has announced a new project: assisting doctors in treating head and neck cancer. It is understood that because the head and neck are important parts of the body, doctors have to spend more time on treatment. DeepMind officially said that it would take at least four hours for the doctor to prepare for such a process, and the goal of the new project is to help automate part of the process through machine learning and reduce this time to an hour.
3. How efficient is artificial intelligence in screening for breast cancer? 30 times faster than the old drivers of the hospital!
Researchers from the Houston Methodist Hospital say they have developed an AI software that is 30 times faster than a normal doctor when parsing mammograms, and its accuracy is as high as 99%. They published the study in the cancer journal. The results show that the AI ​​software can intuitively translate X-ray images into diagnostic information, so that doctors can quickly judge the patient's condition so as not to delay the disease.
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