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.
Researchers developed a head-neck combined HR-MRVWI technique that could potentially provide remarkable suppression of cerebrospinal fluid signals.
The process of applying machine learning methods in medical image analysis is called medical image computation. This post will introduce SIAT’s work in medical image synthesis, classification, and segmentation.
Researchers recently developed and open-sourced COVID-Net, a convolutional neural network for detecting COVID-19 through chest radiography.
With its improved productivity and accuracy and more personalized experience, AI is revolutionizing medical imaging. According to Signify Research, the world market for AI in medical imaging — comprising software for automated detection, quantification, decision support, and diagnosis — will reach US$2 billion by 2023.
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.
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.
Tencent AI Lab unveiled its new intelligent microscope for pathological analysis yesterday at the Tencent Global Partner Conference in Nanjing. The device represents a huge step in the company’s ongoing commitment to ramp up its R&D in AI + medicine.
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.
The Baidu Silicon Valley Artificial Intelligence Lab has released a paper which proposes a neural conditional random field (NCRF) process for cancer metastasis detection on Whole Slide Images (WSIs).
In December 2017 Chinese pharma tech startup AccutarBio raised US$15 million from IDG Capital, YITU Tech, and ZhenFund.
The US FDA defines five steps for the development of a new drug: discovery and development, preclinical research, clinical research, FDA review, and FDA post-market safety monitoring.
Founded by two Chinese AI experts in 2012, the company is particularly competent in recognizing human faces and vehicles. Such capability appeals to China’s public security departments.
This paper systematically studies how a convolutional neural network, trained on ImageNet for image classification tasks, works on medical images – or more precisely on ultrasound images – for the “Kidney Detection” problem.
At RE•WORK Summits, speakers are invited to present advances from the world’s leading innovators, showcase the opportunities in emerging health care industry