A study published this month in Scientific Reports found that an ensemble of machine-learning (ML) models can accurately predict six-month ovarian cancer mortality using patient-reported outcome data,...
A new study published last week in JAMA Network Open shows that an artificial intelligence (AI) model can accurately detect simple and tension pneumothorax on chest radiographs.
According to Mayo...
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...
In a study published this month in Smart Health, Florida Atlantic University (FAU) researchers used machine learning (ML)-based predictive analytics to evaluate the correlation between serology and...
Led by a Michigan Medicine cardiologist, a recent study found that a novel method using machine learning and molecular profiling can be leveraged to create blood-based dietary signatures that can...
Researchers from Rutgers Robert Wood Johnson Medical School (Rutgers RWJMS) and Robert Wood Johnson University Hospital (RWJUH) found that a new ultrasonic imaging method based on artificial...
A study published last month in JAMA Network Open found that a previously validated, high-performing ensemble of deep-learning (DL) models for automated mammography interpretation did not generalize to...
Researchers from the Illinois Institute of Technology (IIT) have received a $1.2 million grant from the National Institutes of Health (NIH) to develop a machine-learning (ML) tool for automated insulin...
A study recently published in the American Journal of Managed Care found that compared with a non-predictive algorithm-driven disease management (DM) program, a disease management outreach program...
Researchers from the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) and Intel Labs have announced the results of a joint study that leveraged federated learning (FL) to...
With the goal of identifying a more efficient method of deciphering clinical notes, researchers from MIT described how a deep-learning model helped clean up her data, leading to information extraction...
Researchers from the University of Texas at Austin’s Dell Medical School have developed an artificial intelligence (AI) clinical decision support tool designed to help clinicians discuss...
As described in the journal Brain, a set of machine-learning (ML) tools developed by Johns Hopkins University researchers displayed the ability to accurately determine brain activity that may lead to...
Researchers from Massachusetts General Hospital and Brigham and Women's Hospital have developed a deep-learning model that uses a single chest X-ray to predict the 10-year risk of death from a...
A new study published in PLOS ONE leveraged machine learning (ML) models to identify the most accurate means and timelines for anticipating the advancement of Alzheimer’s disease in people who...
Researchers from the University of California, San Diego (UC San Diego) and New Light Technologies Inc. (NLT) announced a partnership to develop an infectious disease risk platform designed to serve as...
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 from Emory University and University Hospitals (UH) Cleveland have developed a deep learning (DL)-based liver fat assessment tool which shows that patients with nonalcoholic fatty liver...
Researchers from Johns Hopkins Kimmel Cancer Center have developed an artificial intelligence (AI)-based blood test that can detect liver cancer, based on a new study of 724 people.
The blood testing...
Published in JAMA Network Open, a recent study described the development and accuracy of a risk score tool that predicts individual dementia risk, providing clinical teams with guidance on timely...
