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Enlitic

  • 公司:Enlitic, Inc
  • 人气指数:4746
  • 世界排名:614881名. 美国排名:207831
  • Enlitic是一家来自美国加州旧金山的科技公司,连续两年蝉联MIT Technology Review杂志评选的全球人工智能公司第35(2015)和第14名(2016)。该公司致力于运用人工智能及机器学习等前沿技术来辅助医疗诊断。公司采用时下最先进的深度学习算法对医学图像、诊断书、临床试验等大量医疗数据进行挖掘,实现了快速、准确、可行的健康诊断。

    Enlitic在医疗机器人、虚拟助理、新药研发、辅助疾病诊断、辅助治疗、医学影像识别和诊断、药物研发、营养学、生物技术、智能急救室、医院管理、健康管理、精神健康、可穿戴便携设备、风险管理和病理学,康复医疗和生物医学研究等。

    Enlitic在2017年5月有一个值得自豪的大事件:作为世界上第一个医学深度学习的公司,Enlitic在德国柏林的首次立方体技术博览会上获得了最高奖项,击败了世界上250家最具创新力的公司,并获得了一百万欧元的奖金。

    在决赛期间,首席运营官COO凯文·莱曼展示了Enlitic的医疗深度学习诊断平台。

    Our Mission

    Every time a doctor sees a patient, they are solving a complex data problem. The goal of each case is to arrive at an optimal treatment decision based on many forms of clinical information, such as the patient’s history, symptoms, lab tests, and medical images. The quality and quantity of this data is rapidly improving-it’s estimated to grow over 50-fold this decade, to 25,000 petabytes worldwide by 2020. Our world-class team of medical professionals and data scientists has made it our mission to improve patient outcomes by using this data to its maximum potential.

    Enlitic uses deep learning to distill actionable insights from billions of clinical cases. We build solutions to help doctors leverage the collective intelligence of the medical community.

    Deep Learning

    Deep learning is a technology inspired by the workings of the human brain. Networks of artificial neurons analyze large datasets to automatically discover underlying patterns, without human intervention. Enlitic’s deep learning networks examine millions of images to automatically learn to identify disease.

    Unlike traditional Computer Aided Diagnostics (CAD), deep learning networks can scout for many diseases at once. They can also provide rich insights in areas such as early detection, treatment planning, and disease monitoring.

    Our Solutions

    Enlitic works with a wide range of partners and data sources to develop state-of-the-art clinical decision support products.

    Our deep learning technology can incorporate a wide range of unstructured medical data, including radiology and pathology images, laboratory results such as blood tests and EKGs, genomics, patient histories, and electronic health records (EHRs). This richness allows higher accuracy and deeper insights for every patient.

    Our solutions integrate seamlessly into your existing health system infrastructure. For example, our radiology solutions communicate with third party image viewers and archiving systems.