Enlitic closes $25 million in series B-1 funding round.
New Equity Capital Fuels Momentum as Company Sets its Sights on Market Deployment in 2020, Lawrence Gozlan Joins Board of Directors Enlitic, Inc., a leading developer of artificial intelligence (AI) software designed to help doctors diagnose patient conditions more quickly and more accurately, announced today the completion of $25 million in Series B-1 financing. Thorney […]
Enlitic Announces Strategic Partnership With Select Healthcare Solutions
—Leading Medical AI Software Company and U.S. Cancer Center Operator Partner to Further Advance Early Detection and Characterization of Various Cancers— Enlitic, Inc., a leading developer of artificial intelligence software designed to help doctors diagnose patient conditions more quickly and more accurately, announced today that it has signed a strategic partnership with Select HealthCare Solutions, […]
Enlitic announces new additions to leadership team and New York City office
–With Core Leadership Established, Company Poised for Best in Class Product Development and Rollout– Enlitic, Inc., a San Francisco-based leading developer of artificial intelligence helping to advance medical diagnostics and assist doctors with diagnosing patient conditions more quickly and more accurately, announced today that it has rounded out its leadership bench and opened a new […]
Enlitic Closes Series B Funding to Advance Artificial Intelligence Solutions for Radiologists
Enlitic, a privately-held company utilizing artificial intelligence to streamline medical imaging workflows for radiologists, announced the close of its $15M Series B financing round to advance artificial intelligence solutions for radiologists. The investment was led by Marubeni, with whom the company has been developing the Japanese market since 2017. The round saw further investment from […]
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 […]