AI: Page 80

Intelligent Ultrasound gets ISO certificate
By AuntMinnieEurope.com staff writers
U.K. ultrasound training and quality assurance firm Intelligent Ultrasound Group has received International Organization for Standardization (ISO) certification for its quality management system.
March 3, 2020
2020 02 20 00 48 1332 Approved Stamp 400
ECR 2020 gets postponed until mid-July
By Philip Ward
Next week's European Congress of Radiology (ECR) has been called off and rescheduled for 15-19 July in Vienna. It was impossible to guarantee a safe environment for attendees due to the spread of the novel coronavirus disease (COVID-19), according to organizers of the meeting.
March 2, 2020
2019 03 29 21 06 0826 Ecr2019 Flags 400
Is teleradiology's growth sustainable beyond 2020?
By Arun Gill
Teleradiology services are thriving across the globe, but particularly in the U.K. and Ireland. Market analyst Arun Gill looks at the forces driving this expansion and assesses the key players and the opportunity offered to vendors by artificial intelligence.
March 2, 2020
2017 11 14 20 17 0760 Arrow 400
Median launches 2 clinical studies for iBiopsy platform
By AuntMinnieEurope.com staff writers
Imaging software developer Median Technologies has partnered with Assistance Publique-Hôpitaux de Paris in France to investigate the viability of using Median's iBiopsy imaging phenomics platform for liver cancer.
March 1, 2020
2020 03 03 00 30 6880 Liver Anatomy 400
AuntMinnieEurope.com Artificial Intelligence Insider
By Erik L. Ridley
March 1, 2020
BIR, CSR release publication on artificial intelligence
By AuntMinnieEurope.com staff writers
The British Institute of Radiology (BIR) and the Chinese Society of Radiology (CSR) have produced a new joint publication, Artificial Intelligence in Imaging.
March 1, 2020
2018 08 28 18 59 9066 Artificial Intelligence Ai 400
How to integrate AI into radiology workflow
By Erik L. Ridley
Integrating radiology artificial intelligence (AI) technology into clinical practice changes the workflow, and successful implementation requires a thoughtful plan and the involvement of many stakeholders, according to a recent webinar held by the European Society of Medical Imaging Informatics.
March 1, 2020
2020 02 29 00 31 5279 Computer Brain Ai 400
Women dominate in 2020 EuroMinnies awards
By Philip Ward
Women have dominated the 2020 EuroMinnies award scheme, collecting the prizes for Most Influential Radiology Researcher, Most Effective Radiology Educator, Radiology Rising Star, and Scientific Paper of the Year. Germany, Spain, Portugal, and Norway have provided the winners in these four categories.
February 24, 2020
2018 11 08 21 06 6728 Euro Minnies Logo 400
Algorithm helps predict cancer in 10 out of 11 cases
By AuntMinnieEurope.com staff writers
U.K. technology firm Behold.ai has developed an algorithm that correctly identified cancer in 91% of patients with an eventual diagnosis, the company noted.
February 20, 2020
2018 08 23 21 38 5177 Computer Binary 400
RCR posts clinical, interventional radiology curricula
By AuntMinnieEurope.com staff writers
The U.K. Royal College of Radiologists (RCR) has published new curricula for clinical and interventional radiology.
February 18, 2020
2020 02 19 17 47 3684 Doctors Residents Student Education 400
U.K. team analyzes medical students' views on AI, radiology
By Erik L. Ridley
A survey of nearly 500 medical students in the U.K. found that about half were less likely to consider a career in radiology due to the perceived threat of artificial intelligence (AI) technology. The research was published online on 5 February in Insights into Imaging.
February 16, 2020
2019 12 09 17 23 6730 Artificial Intelligence Ai Suit 400
How deep learning can help predict cancer recurrence
By Irina Grigorescu
Researchers have shown that a deep-learning algorithm can be used to extract interpretable features from annotation-free histopathology images from prostate cancer patients. Their framework outperformed the prediction of biochemical recurrence using conventional methods.
February 13, 2020
2020 02 13 19 51 3108 2020 02 14 Pathology 20200213191628
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