Machine Learning

NIH Grant Supports Creation of Non-Biased Machine-Learning Algorithm

by Mark Melchionna

The National Institute on Minority Health and Health Disparities has extended a grant to Dascena to support the development of a non-biased machine-learning algorithm that can enhance treatment for...

New MIT Technique Aims to Boost Fairness Within Machine-Learning Models

by Mark Melchionna

Recognizing the harm that unbalanced data can bring to the creation of machine-learning models, a study shows how Massachusetts Institute of Technology (MIT) researchers attempted to increase fairness...

Responsible AI Deployment in Healthcare Requires Collaboration

by Jill McKeon

Responsible, secure, and ethical artificial intelligence (AI) deployment in healthcare requires an informed, multi-disciplinary, and collaborative approach. But a lack of industry standards and consensus on how to responsibly deploy AI...

Machine Learning Can Help Predict Severe COVID-19

by Mark Melchionna

Machine learning techniques can be used to predict the severity of COVID-19, thereby enabling providers to optimize care, a study from Infectious Diseases of Poverty shows. The study included 287...

U of California, Irvine to Launch Institute for Precision Health

by Erin McNemar, MPA

To address challenges such as health equity and the cost of care, the University of California, Irvine (UCI) announced the launch of the Institute for Precision Health (IPH). The institute will...

Mayo Clinic Uses Genomic Sequencing, AI to Predict Treatment Response

by Erin McNemar, MPA

Mayo Clinic Cancer Center researchers are validating the use of genomic sequencing and artificial intelligence to predict treatment response in patients with gastric cancer. “Gastric cancer is...

Machine Learning Can Assist in Hip Fracture Classification

by Erin McNemar, MPA

A new machine-learning method used to identify and classify hip fractures has demonstrated its ability to outperform human clinicians. Two convolutional neural networks (CNNs) developed at the...

Florida Health System Uses AI to Predict Hepatitis C Treatment Outcomes

by Erin McNemar, MPA

University of Florida Health researchers have developed algorithms using artificial intelligence to accurately predict hepatitis C treatment outcomes. The algorithms use machine learning to produce...

Audits, Diversifying Data Can Help Payers Address Machine Learning Biases

by Erin McNemar, MPA

As health insurers and providers increasingly turn to machine-learning algorithms to enhance care, there is a growing concern among experts regarding equity, fairness, and bias in how the technology is...

Artificial Intelligence Can Help Free Up Anesthesiologists’ Time in OR

by Erin McNemar, MPA

Artificial intelligence systems may be able to assist anesthesiologists in the operating room, according to MIT and Massachusetts General Hospital (MGH) researchers. In a special edition of Artificial...

How Machine Learning Can Guide COVID-19 Decision-Making

by Erin McNemar, MPA

As the United States continues to see high rates of COVID-19 hospitalizations, providers must make difficult decisions regarding allocating medical resources to patients who may need them most. While physicians can speculate about an...

UCI Health Aims to Improve Remote Patient Monitoring Via AI Partnership

by Erin McNemar, MPA

To support continuous artificial intelligence-powered remote monitoring of acute and post-acute care, UCI Health has announced a multi-year agreement with Biofourmis, a Boston-based global lead in...

AI Collaboration to Create Personalized Healthcare  

by Erin McNemar, MPA

Health at Scale and Walmart are joining forces to produce personalized provider recommendations for Walmart associates and their families using artificial intelligence.  Health at Scale is a...

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...

Can Artificial Intelligence Boost Mental Healthcare Accessibility? 

by Erin McNemar, MPA

According to MIT and Massachusetts General Hospital researchers, artificial intelligence could improve the accessibility of mental healthcare. The investigation was led by MIT Professor of Media Arts...

Machine Learning Tool Provides ED Clinical Decision Support 

by Erin McNemar, MPA

University of Minnesota Medical School researchers evaluated the real-time performance of a machine learning tool that supported clinical decision-making for emergency department discharges at M...

How Can Artificial Intelligence Change Medical Imaging?  

by Erin McNemar, MPA

Increasingly, researchers are looking for ways to implement artificial intelligence into medical imaging. There are several different cases for why a patient might need medical imaging. Whether it’s for a cardiac event, fracture,...

Using Machine Learning For Personalized Breast Cancer Screenings 

by Erin McNemar, MPA

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Jameel Clinic for Machine Learning and Health studied the use of machine learning to...

Machine Learning Predicts C. Diff Infection

by Erin McNemar, MPA

According to recently published data from the Association for Professionals in Infection Control (APIC), several commonly used machine learning algorithms (MLAs) can accurately predict which...

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