Built upon high levels of experience in developing artificial intelligence (AI) solutions, Ardent Health and SwitchPoint have sustained a successful two-year collaboration to create a healthcare...
A study published in JAMA Network Open earlier this month details the development of a prediction model designed to estimate the optimal number of immature eggs, or oocytes, to attempt to fertilize...
A study published this week in BMC Medical Education identified substantial favorability toward artificial intelligence (AI) in healthcare and AI applied to musculoskeletal (MSK) care, such as skeletal...
After receiving a grant from the Leona M. and Harry B. Helmsley Charitable Trust, Oregon Health and Science University (OHSU) researchers developed an artificial intelligence (AI)-based app to evaluate...
Researchers from the Carle Illinois College of Medicine (CI MED) at the University of Illinois are investigating when and how medical artificial intelligence (AI) and machine learning (ML) models will...
A collaboration between the University of Notre Dame Lucy Family Institute for Data and Society and Accenture aims to address community health challenges by expanding health equity data and applying...
A study published this week in Scientific Reports comparing hypertension incidence prediction models found little difference in performance between machine-learning (ML) models and conventional...
Published in Nature Biotechnology, researchers from the University of California San Diego School of Medicine and Rady Children’s Institute described the creation of a deep-learning model that...
A mixed-methods quality improvement study published in JAMA Network Open found that using suicide risk estimation analytics did not augment existing prevention practices as intended during routine...
Published in JAMA Network Open, a recent study described how adding preoperative data and intraoperative hemodynamic monitoring data to a machine learning (ML)-based prediction model led to accurate...
Researchers from the Children’s Hospital of Philadelphia (CHOP) and the New Jersey Institute of Technology (NJIT) developed new machine-learning (ML) software to analyze multiple characteristics...
A group of researchers is conducting the Digital Detection of Dementia study that will evaluate the use of an artificial intelligence (AI)-based machine-learning (ML) algorithm that uses natural...
In a study published in Critical Care Medicine, researchers found that retraining and recalibration of a machine learning (ML)-based clinical decision support tool to predict readmission or death...
In a blog post published last week, experts from Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) discussed the opportunities provided by foundation models for AI...
Researchers at Weill Cornell Medicine have developed an artificial intelligence (AI) tool that can non-invasively identify in vitro fertilized embryos with aneuploidy, or an abnormal number of...
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...
