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Нейросеть научилась прогнозировать сердечно-сосудистые заболевания по фотографии глаза
Нейросеть научилась прогнозировать сердечно-сосудистые заболевания по фотографии глаза
Нейросеть, разработанная компанией Verily Life Sciences (подразделение компании Google), научилась определять предпосылки к заболеваниям сердца по фотографии сетчатки глаза пациента. Об этом 19 февраля пишет портал The Verge.
Алгоритм, используя машинное обучение, может по фотографии глаза (сделанной с помощью офтальмоскопии) вычислить определенные показатели пациента, такие как возраст, пол, вес, давление и показатели гемоглобина в крови. Таким образом нейросеть может прогнозировать риски возникновения сердечно-сосудистых заболеваний.
Для обучения нейросети были использованы данные более 284 000 пациентов. Анализируя записи в медицинских картах и изображения сетчатки, программа разработала алгоритмы, по которым стало возможно вычислить те или иные медицинские показатели.
После этого нейросеть протестировали еще на нескольких базах данных, содержащих информацию о 13 000 пациентов. В результате анализа изображений алгоритм смог предсказать риск развития сердечно-сосудистых заболеваний с точностью в 70 %.
Ученые отмечают, что современные тесты, использующие анализ крови и заполнение специальной таблицы с данными пациента (возраст, вес, пол), предлагают верные прогнозы в 72 % случаев.
Разработчики заявляют, что, несмотря на положительные результаты, нейросеть сейчас находится только на начальном этапе тестирования. Алгоритму потребуются доработки, прежде чем его можно будет считать эффективным методом диагностики.
22 февраля 2018
Выпуск: №169, февраль 20182035 просмотров
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