Machine Learning

Machine Learning Model Predicts Individual Risk for Multiple Myeloma

by Shania Kennedy

Researchers have developed an individual risk prediction model for multiple myeloma, which could significantly enhance prognosis and treatment, according to a study published this week in the Journal...

Understanding De-Identified Data, How to Use It in Healthcare

by Editorial Staff

De-identified data has become an important tool in medical research and for providers looking to enhance patient care. While data sharing between different organizations could violate the Health...

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

by Editorial Staff

In what seems like the blink of an eye, mentions of artificial intelligence (AI) have become ubiquitous in the healthcare industry.  From deep learning algorithms that can read computed...

Kaiser Permanente Awards Funding for Healthcare AI, ML Research

by Shania Kennedy

The Kaiser Permanente Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) Coordinating Center has awarded grant funding to five projects that explore how artificial intelligence (AI)...

Deep Learning Accurately Predicts Antihypertensive Treatment Success

by Shania Kennedy

Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic...

Exploring a Framework for Pediatric Data Use in Health AI Research

by Shania Kennedy

The number of artificial intelligence (AI) and machine learning (ML)-enabled medical devices authorized by the United States Food and Drug Administration (FDA) has risen in recent years as healthcare organizations have become increasingly...

Patient-Reported Symptom Data May Hinder Telehealth-Based Flu Diagnosis

by Shania Kennedy

Researchers from the University of Georgia’s College of Public Health (UGA Public Health) demonstrated that clinical decision rules (CDRs) for influenza may be less accurate in a telemedicine...

Machine Learning Methods May Improve Brain Tumor Characterization

by Shania Kennedy

Researchers from University of Florida (UF) Health have demonstrated that a combination of machine learning (ML) and liquid chromatography-high resolution mass spectrometry (LC-HRMS) can help make...

$31M Awards to Support Medical AI Innovation at UTHealth Houston

by Shania Kennedy

Researchers from the McWilliams School of Biomedical Informatics at UTHealth Houston were awarded over $31 million for 16 projects aimed at driving innovations in healthcare artificial intelligence...

ML Model Estimates Chemotherapy Success in Bone Cancer Patients

by Shania Kennedy

Researchers at Johns Hopkins Medicine have developed a machine learning (ML) tool capable of estimating the percent necrosis (PN)—the percentage of a tumor that is considered “dead”...

American College of Surgeons Develops Cancer Survival Prediction Tool

by Shania Kennedy

According to research presented at the American College of Surgeons (ACS) Clinical Congress 2023, a machine learning (ML) tool can accurately estimate patient-specific prognoses for thyroid,...

Mount Sinai Develops AI Algorithm to Estimate Brain Age Acceleration

by Shania Kennedy

Researchers at Mount Sinai have developed an artificial intelligence (AI) tool that can estimate histopathological brain age, predict age at death, and identify areas of the brain vulnerable to...

Mayo Clinic Platform_Accelerate Announces Fourth Health Tech Cohort

by Shania Kennedy

Mayo Clinic Platform_Accelerate has announced its fourth cohort of health tech startups to participate in the program, which is designed to support the validation and clinical readiness of each...

Predictive Models May Negatively Impact the Performance of Future Tools

by Shania Kennedy

Researchers from the Mount Sinai Icahn School of Medicine and the University of Michigan have found that the deployment of predictive analytics tools may influence the predictive capabilities of...

University of Texas Awarded Funding for Disease Relapse Prediction AI

by Shania Kennedy

Researchers at the University of Texas at Arlington (UTA) have been awarded a $450,000 grant from the National Institute of General Medical Sciences to develop a machine learning-based model to predict...

ML Predicts Suicidal Ideation Among Sexual, Gender Minority Individuals

by Shania Kennedy

Researchers demonstrated that a machine learning (ML) model could effectively predict short- and long-term suicidal ideation in sexual and gender minority individuals using ecological momentary...

CDC Awards to Establish National Infectious Disease Forecasting Network

by Shania Kennedy

The Centers for Disease Control and Prevention (CDC) awarded roughly $262.5 million in grant funding over the next five years to 13 institutions to help establish a national infectious disease and...

ML Helps Identify Variations in Individualized Normal Temperature Ranges

by Shania Kennedy

Machine learning (ML) may help define personalized temperature norms and improve the clinical utility of oral temperature measurements, according to a study published this month in JAMA Internal...

Machine Learning Model May Help Optimize Therapeutic Antibodies

by Shania Kennedy

Researchers at the University of Michigan have developed a machine learning (ML) model to help optimize therapeutic antibodies and make them less prone to binding non-target molecules, according to a...

Deep Learning Model Automates Severe Heart Valve Disease Detection

by Shania Kennedy

Researchers at Yale School of Medicine have developed a deep learning (DL) approach that can accurately detect aortic stenosis by analyzing heart ultrasound scans, according to a study published last...