Imaging Analytics

Google Uses Artificial Intelligence to Detect Breast Cancer

by Jessica Kent

An artificial intelligence model developed by Google and other entities was able to identify breast cancer in screening mammograms with greater accuracy, fewer false positives, and fewer false...

Machine Learning Microscope Adapts Lighting to Improve Diagnosis

by Jessica Kent

Engineers at Duke University have developed a prototype microscope that adapts its lighting patterns while teaching itself the optimal settings needed to complete a given diagnostic task. In the...

NIH Using Artificial Intelligence to Evaluate Stem Cell Quality

by Jessica Kent

NIH researchers used artificial intelligence to evaluate stem cell-derived “patches” of retinal pigment epithelium (RPE) tissue for implanting into the eyes of patients with age-related...

Machine Learning Tool Accurately Diagnoses Esophageal Cancer

by Jessica Kent

Machine learning methods could accurately identify cancerous esophagus tissue on microscopy images without the time-consuming manual data input that is required for current methods, according to a...

Artificial Intelligence in Radiology Will Require Ethics, Standards

by Jessica Kent

Ethical use of artificial intelligence in radiology will require stakeholders to carefully consider how they use data, as well as how they develop and operate decision-making tools, according to a...

Top 4 Machine Learning Use Cases for Healthcare Providers

by Jennifer Bresnick

As healthcare providers and vendors start to show off more mature big data analytics skills, machine learning and artificial intelligence have quickly rocketed to the top of the industry’s...

IBM Watson Expands Role in Imaging Analytics, Population Health

by Jennifer Bresnick

ORLANDO – IBM Watson is continuing to make its presence felt in the healthcare industry by launching a slew of new machine learning and artificial intelligence initiatives focused on care...

Health Information Governance Strategies for Unstructured Data

by Jennifer Bresnick

While electronic health records still have the potential to standardize care by enabling advanced analytics and informing clinical decision-making, much of the data held within these systems – and a large proportion of the data used...