Search Tag: deep learning

IMAGING Management

Google & Northwestern: AI finds cancer before radiologists

2019 21 May

Google and Northwestern scientists show precision of new deep learning system to predict lung cancer An artificial intelligence system, using deep learning, successfully detected malignant lung nodules on low-dose chest computed tomography (LDCT) scans, performing equal to, or better than expert radiologists, according to a new study from... Read more

IMAGING Management

#ICNC2019: Machine learning predicts sudden death in heart failure patient for the first time

2019 14 May

Artificial intelligence ( AI ) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias , reports a study presented at ICNC 2019. The study is the first to use a machine learning algorithm to predict sudden death in heart failure patients . The International Conference on Nuclear Cardiology and... Read more

IMAGING Management

New AI tool predicts breast cancer risk

2019 07 May

Identifying women at risk for breast cancer is a critical component of effective early disease detection . Available models that use factors such as family history and genetics are inadequate in predicting an individual woman's likelihood of being diagnosed with the disease. Researchers from two major institutions have developed a new... Read more

IMAGING Management

Imaging computer model is cancer 'Google Maps' of tumour behaviour

2019 07 May

Johns Hopkins Medicine researchers develop an image-based computer model of tumour behavior that captures more of the complexity of cancer growth Researchers at Johns Hopkins Medicine have created a similar approach to the one used by the navigation application  "Google Maps" to help more accurately compute and visualise the structural and... Read more

IMAGING Management

Machine Learning can automate charting using patient-doctor conversations

2019 26 Mar

Automating symptoms recording clerical aspects of medical record keeping through speech recognition during a patient’s visit 1   could allow physicians to dedicate more time directly with patients, according to a new report published in JAMA Intern Med . Researchers considered the feasibility of using machine learning  to automatically populate... Read more

IMAGING Management

#ECR2019: 5 year success EuroSafe Imaging

2019 06 Mar

EuroSafe Imaging celebrated 5 years of success in it’s mission to support and strengthen medical radiation protection across Europe following a holistic, inclusive approach with a dedicated series of sessions, activities and events during this year’s European Congress of Radiology . The flagship initiative created by the European Society of... Read more

IMAGING Management

#ECR2019 passes torch to #ECR2020

2019 06 Mar

Incoming European Society of Radiology  president Boris Brkljačić 's announces his vision for ECR2020. True to tradition, on the last day of the ECR2019, incoming ESR President Boris Brkljačić, professor of radiology and vice-dean at University of Zagreb School of Medicine, Zagreb, Croatia, and chair of the Department of Diagnostic and Interventional... Read more

IMAGING Management

#ECR2019: Imaging informatics management & performance

2019 06 Mar

Professor Luis Donoso-Bach , head of the department of medical imaging, Hospital Clinic of Barcelona, presented the keynote lecture “ Artificial Intelligence and Machine Learning Informatics: management and performance analysis.” It his poignant and informative presentation he emphasised “ the race is on” as the roles in the healthcare continuum... Read more

IMAGING Management

AI gets a backbone: Deep learning makes it easier for doctors to read spine scans

2019 01 Mar

Radiologists in Norway are using a CT app to facilitate image reading of the most common areas of the body for bone metastasis   The spinal cord is the vital link between the brain and body, a superhighway of life-critical information protected by the bony vertebra of the spinal column.   The spinal column is the most common site for bone... Read more

IMAGING Management

Artificial intelligence in 2019: Where we are now

2019 22 Mar

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