Healthcare Analytics, Population Health Management, Healthcare Big Data

Artificial Intelligence in Healthcare

Artificial Intelligence, Big Data Basics Lead Top 10 Stories of 2018

December 12, 2018 - Healthcare professionals gearing up for a data-driven 2019 have spent the past year equipping themselves with the knowledge they need to succeed in a heavily digital environment. Readers of HealthITAnalytics.com couldn’t get enough of artificial intelligence and big data analytics, both of which have advanced by leaps and bounds in recent months. Our “how to”...


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Deep Learning Tool Could Offer MRI Clinical Decision Support

by Jessica Kent

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...

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...

UX, AI, and Amazon: Top 5 Healthcare Predictions for 2019

by Jennifer Bresnick

2018 was nothing if not eventful for the healthcare industry, and 2019 is already shaping up to be more of the same.  Between the federal urgency around enabling patient access to health data, the meteoric rise of artificial...

Federal Actions May Be Required for AI to Flourish in Healthcare

by Jessica Kent

Increasing the adoption of artificial intelligence (AI) in healthcare and other industries will require federal policymakers to enhance health data access, invest in AI research and education, and implement policies to address potential...

Rucker: Without APIs, Artificial Intelligence Will Fail in Healthcare

by Jennifer Bresnick

As the healthcare industry looks just over the horizon to a busy, eventful, and competitive 2019, artificial intelligence tools are likely to take on an increasingly important role across the care continuum. Payers, providers, and health...

NYU, Facebook Offer Dataset for MRI Artificial Intelligence Project

by Jessica Kent

NYU School of Medicine’s Department of Radiology, in collaboration with Facebook AI Research (FAIR), are releasing a large-scale, open source MRI dataset as part of fastMRI, a project that aims to accelerate MRI scans using...

Amazon Takes on Unstructured EHR Data with Machine Learning, NLP

by Jennifer Bresnick

Amazon is taking another big step into the healthcare industry by announcing a new machine learning service that can extract meaningful information from unstructured EHR data and free-text clinical notes. Amazon Comprehend Medical will...

CMS to Launch Artificial Intelligence Health Outcomes Challenge

by Jennifer Bresnick

The CMS Innovation Center is gearing up to launch a new industry challenge aimed at identifying new strategies for leveraging artificial intelligence and machine learning to improve outcomes. The proposed challenge will explore how...

Harvard Medical School Gets $200M for Precision Medicine Research

by Jessica Kent

Harvard Medical School (HMS) has received a $200 million grant that will help accelerate precision medicine research, advance artificial intelligence, and increase scientific collaboration. The gift from the Blavatnik Family Foundation,...

Is Population Health on the Agenda as Google Nabs Geisinger CEO?

by Jennifer Bresnick

Google is taking another step across the boundaries between the tech sector and the healthcare industry by appointing David Feinberg, MD, MBA as head of the company’s healthcare efforts. Feinberg will leave his post as CEO of...

AI, User Experience Top Healthcare’s Data Analytics Priorities in 2019

by Jennifer Bresnick

Healthcare organizations that want to get ahead in 2019 will need to prioritize the use of artificial intelligence, virtualized care, and technologies that offer intuitive user experiences, according to Forrester’s predictions for...

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...

Duke Engineering Establishes Big Data, Precision Medicine Center

by Jessica Kent

Duke University Pratt School of Engineering has established a new big data analytics center that will support global research to advance precision medicine. Launched last month, the Sherry and John Woo Center for Big Data and Precision...

AMIA Urges Continued Development of National AI Research Plan

by Jessica Kent

The American Medical Informatics Association (AMIA) has expressed approval of the direction and goals of the National Artificial Intelligence Research and Development Strategic Plan and recommended that federal authorities continue in the...

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...

$1.2M AHRQ Grant Helps Montefiore Build AI CDS Tool for Lung Failure

by Jessica Kent

Montefiore Health System has received a $1.2 million grant from the Agency for Healthcare Research and Quality (AHRQ) to develop an artificial intelligence (AI) tool that will help clinicians identify a rare form of lung failure and offer...

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...

Natural Language Processing Tools Struggle to Read Social Media

by Jessica Kent

Social media may offer an untapped data resource for healthcare, but natural language processing (NLP) tools still struggle to analyze and extract meaningful insights from this information due to lack of context and ambiguous...

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