Healthcare Analytics, Population Health Management, Healthcare Big Data

Deep Learning

Deep Learning Tool Could Offer MRI Clinical Decision Support

December 11, 2018 - Applying a deep learning model to knee magnetic resonance imaging (MRI) exams helped increase the accuracy and speed of knee injury classification, and could provide clinical decision support for radiologists, a study published in PLOS Medicine revealed. More MRI examinations are performed on the knee than on any other region of the body, the researchers said, resulting in a high...


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Deep Learning, Blockchain, Big Data to See Huge Growth in Healthcare

by Jennifer Bresnick

There appear to be rosy days ahead for investors and vendors with interests in offering some of the most talk-about technologies to healthcare organizations. The market for products and services rooted in blockchain, deep learning, and...

Deep Learning Spots Adverse Drug Events in Unstructured EHR Data

by Jessica Kent

Deep learning and natural language processing techniques can significantly improve the detection of adverse drug events (ADEs) in unstructured electronic health record (EHR) data, a study published in JMIR Medical Informatics...

Deep Learning for Medical Imaging Fares Poorly on External Data

by Jennifer Bresnick

A deep learning model trained to identify pneumonia on a contained sample of medical images was unable to achieve the same level of accuracy when let loose on data from external healthcare systems, according to a new study in PLOS...

Top 5 Use Cases for Artificial Intelligence in Medical Imaging

by Jennifer Bresnick

Artificial intelligence and machine learning have captivate the healthcare industry as these innovative analytics strategies become more accurate and applicable to a variety of tasks. AI is increasingly helping to uncover hidden insights...

Google Deep Learning Tool 99% Accurate at Breast Cancer Detection

by Jessica Kent

Researchers at Google have developed a deep learning tool that can identify metastasized breast cancer with 99 percent accuracy and could reduce the time it takes for clinicians to review pathology slides. Detecting cancer that has spread...

Challenges Persist in Training Deep Learning Models on EHR Data

by Jessica Kent

Deep learning models have demonstrated early potential in improving healthcare analytics, but researchers still have to overcome significant challenges when using electronic health record (EHR) data to develop these models, a study...

MRI Images Created by AI Could Help Train Deep Learning Models

by Jennifer Bresnick

Maybe it takes one to know one – and maybe it takes one to train one.  Researchers at the Mayo Clinic, NVIDIA, and the MGH & BWH Center for Clinical Data Science are exploring how to use MRI images generated by...

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

by Jennifer Bresnick

In what seems like the blink of an eye, mentions of artificial intelligence have become ubiquitous in the healthcare industry.  From deep learning algorithms that can read CT scans faster than humans to natural language processing...

Deep Learning IDs Neurological Scans 150 Times Faster than Humans

by Jessica Kent

A deep learning platform designed to identify acute neurological conditions, including stroke, hemorrhage, and hydrocephalus, detected disease in CT scans in 1.2 seconds, or 150 times faster than human radiologists. Researchers at Mount...

Google-Backed DeepMind Creates Deep Learning CDS for Eye Diseases

by Jennifer Bresnick

Researchers from DeepMind, a UK-based artificial intelligence company owned by Google, are progressing towards a clinical decision support product that can accurately identify more than fifty eye diseases and provide treatment...

UCI Health Opens Center for Artificial Intelligence, Deep Learning

by Jessica Kent

The University of California, Irvine (UCI) and UCI Health System have launched the UCI Center for Artificial Intelligence in Diagnostic Medicine, which will leverage machine learning tools in all areas of clinical care to improve outcomes...

Artificial Intelligence for Medical Imaging Market to Top $2B

by Jennifer Bresnick

The market for artificial intelligence (AI) tools to process and analyze medical imaging studies is slated to push past $2 billion by 2023, according to a new report from Signify Research. Healthcare organizations are increasingly eager...

How Artificial Intelligence is Changing Radiology, Pathology

by Jessica Kent

Artificial intelligence and machine learning tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes, an ability that is proving helpful in radiology and pathology. Images obtained by...

NIH Makes Largest Set of Medical Imaging Data Available to Public

by Jessica Kent

The National Institutes of Health (NIH) Clinical Center has released a dataset of more than 32,000 medical images to help enhance the accuracy of lesion detection. The dataset, called DeepLesion, contains thoroughly anonymized images...

54% of Healthcare Pros Expect Widespread AI Adoption in 5 Years

by Jennifer Bresnick

Artificial intelligence is quickly gaining steam in the healthcare industry as pilots and limited deployments start to prove their value.  The progression of AI is so swift that more than half of healthcare professionals surveyed by...

AMA Urges “Thoughtfully Designed” Artificial Intelligence for Healthcare

by Jennifer Bresnick

The American Medical Association (AMA) has released a policy statement that takes a favorable view towards artificial intelligence in healthcare – as long as the emerging category of tools and solutions can be carefully...

Deep Learning Tool Tops Dermatologists in Melanoma Detection

by Jessica Kent

A deep learning tool identified melanoma in dermoscopic images with more accuracy than dermatologists, according to a study published in the Annals of Oncology. The convolutional neural network (CNN) scored ten percent higher in terms of...

Challenges of Developing and Deploying AI in Healthcare

by Jennifer Bresnick

Healthcare is on the edge of entering the era of artificial intelligence.  As machine learning, deep learning, and other aspects of AI start to mature, they bring nearly endless possibilities to supplement, streamline, and enhance the...

Exploring the Promises of Artificial Intelligence in Healthcare

by Jennifer Bresnick

Few data science concepts have brought as much excitement and anticipation to healthcare as artificial intelligence and machine learning.  With an almost limitless capacity to revolutionize how patients, providers, payers, and other...

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