AI Technology & Industry Review
In a new paper, Stanford University researchers dispel the assumption that boosting deep learning model performance on ImageNet translates to better performance on medical imaging tasks.
SIAT aims to enhance the innovative capacity of the equipment manufacturing and service industries in the Guangdong-Hong Kong region, promote the development of emerging industries possessing their own proprietary intellectual property, and become a world-class industrial research institute.
Synced presents 13 comprehensive case studies and 74 use cases in five main application scenarios to demonstrate how AI has assisted and can continue to assist in efforts to roll back COVID-19.
The United States Centers for Disease Control and Prevention (CDC) is looking for a Chief Data Officer.
Researchers recently developed and open-sourced COVID-Net, a convolutional neural network for detecting COVID-19 through chest radiography.
Researchers looks at current studies that are using AI to tackle the COVID-19 crisis and suggests some promising future research directions.
A research team has proposed non-contrast thoracic chest CT scans as an effective tool for detecting, quantifying, and tracking COVID-19.
Fast and accurate diagnosis is critical on the front line, and now an AI-powered diagnostic assessment system is helping Hubei medical teams do just that.
Total disinfection coverage of DJI agricultural drones exceeds 600 million square meters across more than 1,000 villages.
A trio of AI detecting breast cancer papers from Google, NYU, and DeepHealth have triggered huge discussions. What are the breakthroughs? Is AI truly beating radiologists? Where exactly are we right now?
Google has achieved a milestone in machine learning research that will boost the company’s broader ambitions in healthcare. In a paper published today in Nature Medicine, Google researchers present an end-to-end deep learning model that can predict lung cancer comparably or better than human radiologists.
It’s not uncommon to find scalpers at concert halls and sporting events, hawking admission tickets at inflated prices. Chinese hospitals however have been invaded by a more problematic breed of scalper — those who deal in the appointment registration tokens that hospitals use to process patient visits.
In July 2017 the US FDA (Food and Drug Administration) launched its Digital Health Innovation Action Plan to provide Americans “timely access to safe and effective digital health products,” many of which are being developed using artificial intelligence technologies.
Alibaba is using artificial intelligence to predict the upcoming flu season in Macau.
Chinese tech giant Tencent’s first attempt in AI healthcare was the Miying platform, which has been a point of pride for CEO Huateng Ma since its 2017 launch. Supported by AI-powered medical imaging technologies, Miying assists doctors with the screening of esophageal cancer, pulmonary nodules, cervical cancer, etc. The platform has been well received in the AI and medical communities, with a fast-expanding market in Chinese top-tier AAA hospitals.
Facebook AI Research (FAIR) and the New York University (NYU) School of Medicine’s Center for Advanced Imaging Innovation and Research (CAI2R) announced today they are sharing a standardized set of AI tools and baselines and MRI data as part of their joint research project fastMRI.
Google DeepMind has announced that its project with London’s Moorfields Eye Hospital will now include working with clinicians to predict eye diseases before symptoms occur.
Leading Chinese AI startup 4Paradigm has announced a strategic partnership with Shanghai’s Ruijin Hospital on AI application in healthcare, especially chronic health conditions.
Artificial intelligence can now match or outperform human experts in diagnosis and referral on eye diseases, suggests a new paper from DeepMind. The UK-based, Google-owned research institute today released joint research results with the UK’s Moorfields Eye Hospital and UCL Institute of Ophthalmology, which present a new AI technique in the context of OCT imaging. The paper was published on Nature Medicine’s website.