NASA and Google are testing an AI-based medical assistant for manned missions to the Moon and Mars. It can help astronauts diagnose and treat medical problems when they are far from Earth and out of reach of doctors.

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NASA is currently preparing to embark on a new era of spaceflight beyond Earth’s orbit and is trying to find ways to overcome the challenges that astronauts may face during their missions. One of them is the delay in communication with Earth, which can reach up to 45 minutes. This makes real-time medical consultations impossible.

One possible solution to this problem is the use of artificial intelligence. In collaboration with Google, NASA has developed an innovative concept for an automated clinical decision support system (CDSS) known as the Crew Medical Officer Digital Assistant (CMO-DA). This multimodal tool is designed to provide medical care to astronauts during long-duration space missions.

CMO-DA can help astronauts diagnose and treat symptoms on their own when they are not in direct contact with medical experts on Earth. Trained using space flight literature, the artificial intelligence system uses advanced natural language processing and machine learning technologies to safely provide real-time analytical data on crew health and performance. The tool is designed to support flight doctors and assist in making medical decisions based on data and predictive analytics.

According to Google, CMO-DA has already undergone initial testing in a wide range of medical scenarios. Analysis of their results showed the promise of the technology and the reliability of such diagnostics. NASA and Google are currently working with doctors to further test and refine the model.

It is also worth noting that this technology can be used not only in space. A digital medical worker can be useful in difficult situations in remote regions of the Earth where access to qualified medical care is limited.

Earlier, we reported on how artificial intelligence helped astronomers discover a previously unknown type of supernova.