• Artificial intelligence is able to pre-empt medical diagnoses

    Artificial intelligence is able to pre-empt medical diagnoses



    The Alphabet project can predict when a patient will get worse



    Alphabet, the parent company of Google, and the US Department of Veterans work hand-in-hand to take the technology to the patients' rooms to monitor and monitor possible changes in the health status of the elderly.

    However, this union is not about electronic devices to monitor the heartbeat or to control blood pressure or tension, but both companies work on the deployment of DeepMind, the artificial intelligence of Alphabet.

    According to several medical studies, one out of ten deaths in hospitals occurs after obviating any change in the patient's health status. The Alphabet project and the US administration will analyze patterns of 700,000 anonymous medical records to see if Artificial Intelligence from DeepMind can identify which patients will get worse during admission to the hospital and find out their future doctor

    DeepMind and its engineers say that a possible use of the technology is to detect kidney failure in its early stages.

    Kidney injuries commonly occur after routine procedures and operations, such as a hip replacement, and often appear suddenly without obvious warning signs. These injuries can be life-threatening, so DeepMind wants to find ways to detect them early in the hope of saving patients, they say.

    This medical incursion of Alphabet and DeepMind is not the first. The 'intelligent' division of the search engine giant's matrix is ​​capable of diagnosing eye diseases and detecting pathologies with great precision.

    The system relies on medical scanners and algorithms trained from retinal scans, and thus detect any problem more quickly and effectively. It is the first application of relevance in the field of health, and soon it could begin to be tested in clinical trials if it obtains the approval of the regulators.

    According to Accenture, the advances in artificial intelligence applied to medicine could save up to 150,000 million dollars to the industry by the year 2026.
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