Xenter Inc. has officially launched, positioning itself as the first startup device/data/drug med-tech company. The company is developing wireless solutions for interventional cardiology, interventional radiology and neurointerventional radiology. The company’s goal is to take the medical devices that have been used most ubiquitously throughout medicine, one by one, and replace them with smart technologies that incorporate such things as software, sensors and signals technologies.
TORONTO – Waterloo, Ontario-based DarwinAI Corp. and Raleigh, N.C.-based Red Hat Inc.are developing a suite of deep neural networks for COVID-19 detection and risk stratification via chest radiography in cooperation with Boston Children’s Hospital. DarwinAI designed COVID-Net as “explainable” artificial intelligence (AI) that illuminates the inner workings of AI-driven medical technologies and promptly offered it on an open-source platform for the broader hospital community.
The U.S. FDA has granted 510(k) clearance to Siemens Healthineers AG for AI-Rad Companion Organs RT, the newest module in its platform of artificial intelligence-based software assistants. The radiation therapy planning aide joins earlier AI-Rad Companion modules for interpreting magnetic resonance imaging (MRI) studies of the brain and prostate, as well as one for chest computed tomography (CT) studies.
Aidoc Inc., a provider of artificial intelligence (AI) solutions in radiology, has won U.S. FDA clearance to market the first software solution for flagging and triaging incidental pulmonary embolism (PE). The AI technology, which includes triaging and notification algorithms, is an “always on” technology that analyzes chest CT scans in real time and alerts the radiologist to any potentially abnormal findings – possibly speeding up diagnosis by hours.
HONG KONG – South Korean-based med-tech Lunit Inc., of Seoul, has secured ₩30 billion (US$25.6 million) in series C funding. Founded in 2013, the Korean company has raised $50 million so far. Lunit’s corporate value was evaluated at as much as ₩200 billion as of the fundraising.
Radiologist burnout is a common problem. To combat this issue, Berkeley, Calif.-based Rad AI has launched with a $4 million seed round led by Gradient Ventures, Google's AI-focused venture fund. Other participants in the round were UP2398, Precursor Ventures, GMO Venture Partners, Array Ventures, Hike Ventures, Fifty Years VC and various angels.
The field of artificial intelligence (AI) in medical practice is in its infancy, but a group of medical societies has published a paper that proposes the development of a code of ethics for artificial intelligence (AI) in radiology. The paper underscores a number of concerns, including that some developers fail to fully appreciate the potential consequences of seemingly innocent slip-ups in the development and validation of that algorithm.