Natural Language Processing

Viewpoint: Pandemic Promise of Machine Learning Falls Short  

by Erin McNemar, MPA

With the recent advances in machine learning algorithms, healthcare professionals had high expectations for the technology during the COVID-19 pandemic. However, according to an analysis published by...

What Are the Benefits of Natural Language Processing Technology?  

by Erin McNemar, MPA

To deliver quality care and positive patient outcomes, researchers and clinicians need comprehensive patient data and medical literature.   However, since 80 percent of essential data lies in...

Artificial Intelligence-Based Algorithm Predicts Heart Failure

by Erin McNemar, MPA

Mount Sinai researchers created an artificial intelligence-based computer algorithm that can detect subtle changes in electrocardiograms to predict whether a patient is experiencing heart...

Using Artificial Intelligence to Diagnose Rare Pediatric Disorders

by Erin McNemar, MPA

According to a collaborative research study from the University of Utah Health, Fabric Genomics, and Rady Children’s Hospital, artificial intelligence-based technology can rapidly diagnose rare...

AI-Based Natural Language Processing Advances Precision Medicine

by Erin McNemar, MPA

To advance their precision medicine research, Washington University School of Medicine has adopted artificial intelligence-based natural language processing tools to assist in sorting their...

Identifying Disease with Natural Language Processing Technology

by Erin McNemar, MPA

A recent study by Kaiser Permanente demonstrated the value of natural language processing (NLP) technology with clinicians identifying more than 50,000 patients with aortic stenosis, a common heart...

Cerner, Epic Saw Deepest Healthcare Data Analytics Adoption in 2021

by Erin McNemar, MPA

In their recent performance report, Data and Analytics Platforms 2021, KLAS Research evaluated vendors with broad analytics offerings and allowed them to identify their deepest platform...

Machine Learning, Natural Language Processing Addresses Bias

by Erin McNemar, MPA

Rush University Medical Center researchers conducted a study using machine learning to determine bias within natural language processing (NLP) regarding opioid misuse classifiers. Over the last 20...

Natural Language Processing Helps Assess COVID-19 Complications

by Erin McNemar, MPA

To understand the relationship between pre-existing conditions and complications of COVID-19 infection, researchers are using natural language processing (NLP) to sift through unstructured EHR...

UPMC Starts Artificial Intelligence Company to Combat Chronic Disease

by Jill McKeon

Realyze Intelligence, a company launched recently by The University of Pittsburgh Schools of the Health Sciences (UPMC), will use natural language processing and artificial intelligence to pinpoint...

Machine Learning Shows Social Media Greatly Affects COVID-19 Beliefs

by Jessica Kent

Using machine learning, researchers found that people’s biases about COVID-19 and its treatments are exacerbated when they read tweets from other users, a study published in JMIR showed. The...

How Real-Time Data Informs Decision-Making During COVID-19

by Jessica Kent

Throughout the era of COVID-19, it’s become apparent that the only constant is change. The crisis continues to rapidly evolve, with updated guidelines and fluctuating case numbers,...

Natural Language Processing Accurately Detects HPV-Related Cancers

by Jessica Kent

Natural language processing tools can analyze pathology reports and identify individuals with HPV-related cancers, improving disease surveillance and treatment, according to a study published in JMIR...

Patient Safety, Data Privacy Key for Use of AI-Powered Chatbots

by Jessica Kent

Patient safety, data privacy, and health equity are key considerations for the use of chatbots powered by artificial intelligence in healthcare, according to a viewpoint piece published in JAMA. With...

Addressing the Social Determinants of Health with AI, Partnerships

by Jessica Kent

In the healthcare industry today, it is widely understood that optimal health outcomes require addressing patients’ clinical and non-clinical needs – their social determinants of...

Natural Language Processing Tracks Public Interest in COVID-19 Topics

by Jessica Kent

A team from Penn Medicine has shown that public health officials can use natural language processing techniques to track surges in interest in COVID-19 topics on online forums, such as Reddit. For...

Artificial Intelligence, Genomics Tools to Help Combat COVID-19

by Jessica Kent

To aid COVID-19 research efforts, NVIDIA has developed new artificial intelligence models, genomic sequencing software, and speech recognition technologies for the medical community. For more...

Understanding the COVID-19 Pandemic as a Big Data Analytics Issue

by Jessica Kent

The rapid, global spread of COVID-19 has brought advanced big data analytics tools front and center, with entities from all sectors of the healthcare industry seeking to monitor and reduce the impact...

Top 3 Data Challenges to Addressing the Social Determinants of Health

by Jessica Kent

Across the healthcare landscape, it is now widely understood that the social determinants of health (SDOH) have a major impact on health outcomes, care quality, and medical costs. An...