Healthcare Analytics, Population Health Management, Healthcare Big Data

Machine Learning

MRI Images Created by AI Could Help Train Deep Learning Models

September 24, 2018 - 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 artificial intelligence to train a deep learning model designed to identify clinical abnormalities in imaging data. The research is aimed at overcoming the...


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Are Universal EHRs Key to Healthcare Value, Trust, and AI Adoption?

by Jennifer Bresnick

Healthcare providers in the United States generally don’t harbor very warm feelings for their electronic health records (EHRs). Despite efforts from vendors and regulators to improve the experience of interacting with these...

Using Big Data, Machine Learning to Reduce Chronic Disease Spending

by Jessica Kent

Diabetes and heart disease are two of the most costly and prevalent chronic conditions impacting patients in the US, leading the healthcare industry to spend billions every year to treat and manage these disorders. As care delivery...

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...

Machine Learning, Genomics Predict Risk of Aortic Aneurysm

by Jennifer Bresnick

The combination of machine learning tools and genomic data can help predict the risk of abdominal aortic aneurysm (AAA), one of the most frequently fatal heart conditions - and one that is most often diagnosed only after a patient’s...

At Montefiore, Artificial Intelligence Becomes Key to Patient Care

by Jennifer Bresnick

Artificial intelligence (AI) is the newest must-have technology for healthcare organizations seeking to get ahead of costly and clinically dangerous patient care issues while also gaining a competitive edge over their peers. Interest from...

Internet of Things, AI to Play Key Role in Future Smart Hospitals

by Jennifer Bresnick

The Internet of Things (IoT) is expected to combine with the power of artificial intelligence, blockchain, and other emerging technologies to create the “smart hospitals” of the future, according to a new report by Frost &...

Alexa, Siri NLP Skills Not Ready for Reliable Medical Conversations

by Jennifer Bresnick

Alexa, Siri, Google Assistant, and other AI-driven virtual assistants may be useful tools for ordering rideshares and controlling smart homes, but these conversational computing systems are not quite ready for prime time when it comes to...

10 High-Value Use Cases for Predictive Analytics in Healthcare

by Jennifer Bresnick

As healthcare organizations develop more sophisticated big data analytics capabilities, they are beginning to move from basic descriptive analytics towards the realm of predictive insights. Predictive analytics may only be the second of...

Predictive Analytics to Explore Link between Opioids, Suicide Risk

by Jessica Kent

A three-year, $1.4 million Kaiser Permanente study will leverage predictive analytics and machine learning to understand the relationship between opioid use and suicide risk, allowing researchers to develop improved tools for identifying...

Healthcare Artificial Intelligence Market to Top $34B by 2025

by Jennifer Bresnick

The market for healthcare artificial intelligence tools is expected to surpass $34 billion by the middle of the 2020s, driven largely by a growing desire to automate tasks and harness deeper insights into clinical and financial issues,...

How to Use Big Data Analytics to Boost Patient Engagement

by Jessica Kent

Patient engagement is a key element of quality healthcare delivery. In order for patients to maintain their well-being, they must take an active role in their care and understand what they must do to stay healthy. As wearable devices,...

Facebook, NYU Will Use Artificial Intelligence for Faster MRIs

by Jessica Kent

Facebook and NYU School of Medicine’s Department of Radiology have announced a new collaborative research project that will study the use of artificial intelligence (AI) to make MRI scans up to 10 times faster to complete. The...

MIT Machine Learning Tool Reduces Cancer Treatment Toxicity

by Jessica Kent

MIT researchers have developed a machine learning algorithm that could proactively adjust toxic chemotherapy and radiotherapy dosing for patients with glioblastoma to minimize the toxic effects of the treatments. Glioblastoma, an...

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...

Providers Embrace Predictive Analytics for Clinical, Financial Benefits

by Jessica Kent

Predictive analytics have the potential to enhance care delivery, improve patient outcomes, and reduce care costs, enticing more healthcare executives to explore the implementation of data-driven tools.   According to a recent survey...

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...

4 Natural Language Processing Use Cases for Healthcare Orgs

by Jessica Kent

The rise of big data in the healthcare industry is setting the stage for natural language processing (NLP) and other artificial intelligence tools to assist with improving the delivery of care.   NLP algorithms have already proven...

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