Healthcare Analytics, Population Health Management, Healthcare Big Data

Imaging Analytics

Medical Imaging, Machine Learning to Align in 10 Key Areas

February 11, 2019 - Medical imaging and machine learning are on a collision course that promises significant advancements in diagnostics and precision medicine, according to a new report from Frost & Sullivan. Advances in artificial intelligence and powerful computing technologies to support highly detailed imaging studies are driving opportunities for vendors and providers to capture a segment of a...


More Articles

Artificial Intelligence in Healthcare Spending to Hit $36B

by Jennifer Bresnick

The global market for artificial intelligence in healthcare is set for incredible growth over the next few years, according to new research from ReportLinker. The AI in healthcare market is slated to expand from its current $2.1 billion...

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...

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...

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...

Machine Learning Tool IDs Macular Degeneration as Well as Humans

by Jessica Kent

Researchers from the Johns Hopkins University Applied Physics Laboratory (APL), together with collaborators at the Johns Hopkins School of Medicine, have developed a machine learning tool that can detect age-related macular degeneration...

FDA Clears Marketing for AI Algorithm to Detect Wrist Fractures

by Jennifer Bresnick

The FDA has cleared one of the first artificial intelligence algorithms intended to provide clinical decision support at the point of care, officials announced this week.  Imagen’s OsteoDetect software can use imaging analytics...

Top 12 Ways Artificial Intelligence Will Impact Healthcare

by Jennifer Bresnick

The healthcare industry is ripe for some major changes.  From chronic diseases and cancer to radiology and risk assessment, there are nearly endless opportunities to leverage technology to deploy more precise, efficient, and impactful...

Medical Imaging is Healthcare’s Artificial Intelligence Bellwether

by Jennifer Bresnick

The healthcare industry has innumerable opportunities to leverage artificial intelligence and machine learning in pursuit of more accurate, proactive, and comprehensive patient care.  From reducing administrative burdens to...

Partners Sets the Tone for Artificial Intelligence in Healthcare

by Jennifer Bresnick

Despite the fact that the healthcare industry hit its EHR saturation point some time ago, providers and vendors are still eagerly engaged in dialogue about the utilization and continued optimization of health IT tools. But the topics of...

AI for Imaging Analytics Intrigues Healthcare Orgs, Yet Starts Slow

by Jennifer Bresnick

Healthcare organizations are developing a strong interest in leveraging artificial intelligence for enhanced imaging analytics, but are approaching investment and implementation a little more cautiously, says a new report from KLAS...

As Imaging Analytics Grows, Healthcare Orgs Should Proceed Cautiously

by Jessica Kent

Imaging analytics aided by artificial intelligence is rapidly expanding within the health IT sphere, but providers must assess their organizations and understand exactly how this technology will enhance the patient experience and reduce...

Machine Learning, Imaging Analytics Predict Kidney Function

by Jennifer Bresnick

Machine learning and imaging analytics from renal biopsies can help to predict how long a kidney will function adequately in patients with chronic kidney damage, says a study published in Kidney International Reports. Using deep learning...

FDA Unveils Clinical Decision Support, Medical Device Guidance

by Jennifer Bresnick

The Food and Drug Administration (FDA) has released three new guidance documents aimed at helping developers and vendors better understand how to create effective and safe clinical decision support tools, medical device applications, and...

Amazon Machine Learning, Big Data Tools Have Healthcare Implications

by Jennifer Bresnick

Healthcare organizations looking to expand their big data analytics horizons will have more infrastructure, Machine-Learning-as-a-Service (MLaaS), and deep learning options thanks to a series of new product launches from Amazon. The...

Machine Learning 84% Accurate at Flagging Dementia within 2 Years

by Jennifer Bresnick

A machine learning algorithm using protein biomarkers to identify Alzheimer’s disease was able to accurately identify imaging studies of patients progressing into dementia 84 percent of the time, according to a new study published in...

Mount Sinai Creates Imaging Data Warehouse for Precision Medicine

by Jennifer Bresnick

Mount Sinai Health System has created a centralized imaging research warehouse (IRW) able to integrate clinical images with deidentified electronic health record (EHR) data. The project, developed by Mount Sinai’s Translational and...

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 buzzword list. The possibility of using...

X

Join 25,000 of your peers

Register for free to get access to all our articles, webcasts, white papers and exclusive interviews.

Our privacy policy


no, thanks

Continue to site...