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Artificial Intelligence

Image: A new study claims deep-learning algorithms beat dermatologists at dermoscopy interpretation (Photo courtesy of Dreamstime).

AI Surpasses Dermatologists at Melanoma Recognition

Trained artificial Intelligence (AI) convolutional neural networks (CNNs) are better than experienced dermatologists at detecting skin cancer, claims a new study. More...
05 Jun 2018

AI to Target Cancer Deaths in the UK

Theresa May, Prime Minister of the United Kingdom, is aiming to cut cancer deaths by 10% using artificial intelligence (AI) as the key driver of improved health outcomes. More...
31 May 2018

AI Software Interprets Brain Scans to Improve Diagnoses

Scientists at Imperial College London and the University of Edinburgh have created a new software that can identify and measure the severity of small vessel disease (SVD), which is among the most common factors responsible for stroke and dementia. According to the researchers, the technology could help clinicians provide patients with the best treatment more quickly in emergency settings, predict a person’s likelihood of developing dementia and pave the way for more personalized medicine. More...
29 May 2018

AI Software Platform Receives CE Mark Approval

A broad machine vision and deep-learning software platform, which supports the assessment of multiple clinical indications, including the detection of intracranial hemorrhage (ICH), has received the CE Mark approval. The software platform named Accipio has been developed by MaxQ Artificial Intelligence, a global artificial intelligence (AI) healthcare company focusing on empowering confident, life-saving decision support through AI-enabled tools at the point of care. More...
29 May 2018

Long QT Syndrome Now Observable with AI

A new study reveals that artificial intelligence (AI) can successfully identify patients with congenital long QT syndrome (LQTS), despite having a normal QT interval on the standard electrocardiogram (ECG). More...
23 May 2018

ACR and MICCAI to Develop AI Algorithms for Clinical Radiology

The American College of Radiology and the Medical Image Computing and Computer Assisted Intervention Society are working together to develop artificial intelligence (AI) algorithms to better meet the clinical needs of radiologists. The ACR is actively creating use cases for imaging AI and will work with MICCAI to leverage this knowledge base in MICCAI’s imaging AI competitions. The ACR Data Science Institute (ACR DSI) is actively working on technically-oriented use cases (TOUCH-AI) which will help algorithm vendors identify and target areas that have the greatest clinical impact, as well as strategies to ensure appropriate validation pre-deployment (CERTIFY-AI) and ongoing monitoring while in the clinical setting (ASSESS-AI). More...
21 May 2018

FDA Offers Vote of Confidence for AI in Healthcare

FDA Commissioner Scott Gottlieb, MD, believes that artificial intelligence holds enormous promise for the future of medicine, and is actively developing a new regulatory framework to promote innovation and support the use of AI-based technologies in healthcare. More...
17 May 2018
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 The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.