Diagnostic Tools

University of Houston AI Project Aims to Improve Lung Cancer Diagnostics

by Shania Kennedy

Researchers at the University of Houston have received a $933,812 grant from the National Cancer Institute (NCI) to develop a computational framework to support collaboration between radiology teams...

AI Tools Can Support Early Cardiovascular Disease Diagnosis

by Mark Melchionna

Recent research from Rutgers, the State University of New Jersey, described how artificial intelligence (AI) and machine learning (ML) could be used to examine genes within DNA, information that can...

NJ Health System Leverages AI, Robotics for Early Lung Cancer Diagnosis

by Shania Kennedy

New Jersey-based AtlantiCare is deploying pre-operative artificial intelligence (AI) assessment tools and robotic bronchoscopy techniques to support early lung cancer diagnosis and treatment. The...

Machine-Learning Approach Aims to Optimize Rare Disease Diagnosis

by Mark Melchionna

A recent study from Stanford University Human-Centered Artificial Intelligence (Stanford HAI) described the creation of a machine-learning framework, known as POPDx, that aims to enhance the rare...

Predictive Analytics Tools Accurately Detect Pediatric Autism

by Shania Kennedy

A study published last week in JAMA Network Open describes how a set of EHR data-based predictive analytics tools can detect early autism using patient data collected before 1 year of age. According...

AI Can Interpret At-Home COVID-19 Tests, Aid Viral Illness Diagnoses

by Shania Kennedy

George Mason University researchers have highlighted how artificial intelligence (AI) can help in the diagnosis of COVID-19 through a series of five papers published in the Journal of Quality...

UPMC Deploys AI-Powered Prostate Cancer Diagnostic

by Shania Kennedy

The University of Pittsburgh Medical Center (UPMC) and Ibex Medical Analytics announced a partnership focused on leveraging Ibex’s artificial intelligence (AI) solution, Galen Prostate, to...

Researchers Identify Biomarkers, Potential Utility of ML in ADHD

by Shania Kennedy

Researchers from Yale School of Medicine have identified biomarkers of attention-deficit/hyperactivity disorder (ADHD) using MRI exams and showcased the potential role of machine learning (ML)-based...

Researchers Assess Federated Learning Models for COVID-19 Diagnostics

by Shania Kennedy

A team of researchers led by the University of Minnesota is examining federated learning (FL) techniques to evaluate their utility for diagnosing COVID-19 based on chest radiograph data. FL models, a...

Mayo Clinic Uses Artificial Intelligence to Diagnose Heart Failure

by Mark Melchionna

Published in Nature Medicine, a study conducted by Mayo Clinic researchers describes how artificial intelligence (AI) can be used to assess electrocardiogram (ECG) recordings to detect heart failure...

Mayo Clinic Expands Artificial Intelligence-Enabled Diagnostics Partnership

by Shania Kennedy

Mayo Clinic and healthcare diagnostics company Numares Health announced an expansion of their partnership focused on developing artificial intelligence (AI)-enabled diagnostic testing for patients with...

Use of AI-Enabled Screening Tool Led to More Diagnoses of Heart Condition

by Mark Melchionna

A recent Mayo Clinic study found that the use of an artificial intelligence (AI)-enabled screening tool displayed the ability to assist providers while diagnosing low left ventricular ejection...

Cedars-Sinai Develops AI to Improve Accuracy of Heart Condition Detection

by Shania Kennedy

Researchers in the Division of Artificial Intelligence in Medicine at Cedars-Sinai have developed artificial intelligence (AI) models that improve quality and accuracy in heart imaging, predicting...

Artificial Intelligence Model Can Support Rare Disease Diagnoses, Treatment

by Mark Melchionna

Investigators from the Mahmood Lab at Harvard Medical School and Brigham and Women’s Hospital found that an artificial intelligence (AI) model, known as Self-Supervised Image Search for Histology...

Mayo Clinic Study Shows AI Can Help Detect Atrial Fibrillation

by Mark Melchionna

Aiming to lower the prevalence of undiagnosed atrial fibrillation and stroke, researchers from Mayo Clinic tested an artificial intelligence (AI)-based screening strategy designed to determine new...