How Bay Area companies are making artificial intelligence healthcare’s next big thing
AI and machine learning have made a huge advances in the last few years. Now both are set to have a dramatic impact on how health care is delivered. Read the full article at bizjournals.com
Marubeni Takes Capital Stake in U.S. AI Medical Imaging Diagnostic Systems Developer
Marubeni Corporation (hereinafter, “Marubeni”) is pleased to announce that it has invested in Enlitic Inc. (hereinafter, “Enlitic”), which has developed an AI deep-learning backed image diagnosis system (hereinafter, “Product”), through a third-party allocation of shares and entered into an exclusive business alliance with Enlitic in December of 2018 for the development and sales of this […]
Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction
Article Abstract Obtaining datasets labeled to facilitate model development is a challenge for most machine learning tasks. The difficulty is heightened for medical imaging, where data itself is limited in accessibility and labeling requires costly time and effort by trained medical specialists. Medical imaging studies, however, are often accompanied by a medical report produced by […]
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
Article Abstract Diagnostic imaging often requires the simultaneous identification of a multitude of findings of varied size and appearance. Beyond global indication of said findings, the prediction and display of localization information improves trust in and understanding of results when augmenting clinical workflow. Medical training data rarely includes more than global image-level labels as segmentations […]
Learning to Diagnose from Scratch by Exploiting Dependencies Among Labels
Article Abstract The field of medical diagnostics contains a wealth of challenges which closely resemble classical machine learning problems; practical constraints, however, complicate the translation of these endpoints naively into classical architectures. Many tasks in radiology, for example, are largely problems of multi-label classification wherein medical images are interpreted to indicate multiple present or suspected […]
Enlitic Announces Deep Learning NLP Capabilities; Will Attend HIMSS 2017 To Meet with Partners and Stakeholders
Enlitic, a medical deep learning company and MIT Technology Review’s #14 “Smartest Company” for 2016 is excited to announce its deep learning medical natural language processing (NLP) solution, part of Enlitic’s medical deep learning imaging diagnostic platform. Enlitic Medical NLP provides meaningful comprehension of medical texts and images, enabling organizations to operationalize and commercialize their […]
MIT Ranks the World’s 13 Smartest Artificial Intelligence Companies
Editors at the MIT Technology Review recently weighed in with their annual review of the world’s 50 Smartest Companies. This list celebrates the most effective pairing of innovation and business across the globe. For the first time, more than 20% of MIT’s picks rely on artificial intelligence to support their business at a fundamental level, […]
Do Not Miss the Turn of Artificial Intelligence
Et si une partie de la solution était déjà sous nos yeux ? Le contraste est saisissant : à l’heure où Alstom sombre irrémédiablement, son grand rival allemand Siemens continue d’équiper des trains qui, eux, arrivent toujours à l’heure. Cette réussite, le groupe ne la doit pas au hasard mais à son utilisation fructueuse de […]
Why Deep Learning Is Suddenly Changing Your Life
Decades-old discoveries are now electrifying the computing industry and will soon transform corporate America. Over the past four years, readers have doubtlessly noticed quantum leaps in the quality of a wide range of everyday technologies. Most obviously, the speech-recognition functions on our smartphones work much better than they used to. When we use a voice […]
