Petuum - Petuum Healthcare Solutions

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The Petuum healthcare software system, PetuumMed, provides end-to-end artificial intelligence functions needed in healthcare applications.

The Petuum healthcare software system, PetuumMed, provides end-to-end artificial intelligence functions needed in healthcare applications. It easily turns electronic medical records including medical notes, images, vitals, lab tests, genomic data, etc, into meaningful information sources for computational clinical support. PetuumMed offers medical practitioners second opinions for disease diagnosis and possible treatment recommendations. Our program helps improve the productivity of medical practitioners, by accurately extracting symptoms, diseases, drugs, and other key terms from the medical notes to aid the clinical workflows. PetuumMed can also effectively generate diagnoses from medical images such as chest x-rays to help detect diseases such as tuberculosis, with accuracy comparable to a trained medical professional, offering a prompt second medical opinion. PetuumMed Productivity The Petuum Healthcare software is powered by state-of-the-art natural language understanding (NLU) and computer vision algorithms, which are applied to large-scale proprietary textual, image, and other structured and unstructured data. Our solution enhances clinical practices through point-of-care assistance, workflow optimization, and retroactive analysis. The PetuumMed graphical interface presents critical information to medical professionals, by tagging key symptoms, offering disease diagnoses, and proposing treatment pathways, overlaid upon the patient’s textual electronic health records and medical imaging (such as chest x-rays). PetuumMed allows the cases of similar patients to be brought up quickly with one click, so that physicians are able to spend less time manually searching for information, and more time making life-saving decisions. The PetuumMed natural language and image understanding algorithms offer physicians a reliable second medical opinion. For example, when detecting tuberculosis from chest x-rays, PetuumMed achieves 91.2% +/- 5.0% sensitivity (recall) versus 82.0% for physicians, and achieves 78.0% +/- 7.0% specificity versus 77.0% for physicians.

Learn more at petuum.com


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About The Company
Petuum
  • Deep Learning
  • 3 Products
  • 0 Case Studies

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