A study to be published in the February 2023 issue of Plastic and Reconstructive Surgery found that an artificial intelligence (AI)-based automated pattern recognition model can predict whether surgery...
Johns Hopkins University researchers have developed machine-learning (ML) algorithms that can detect the early warning signs of delirium and predict which patients will be at high risk of delirium at...
Trinity Health and Strive Health announced plans to enhance treatment for chronic kidney disease (CKD) and end-stage kidney disease (ESKD) for Loyola Physician Partners patients using predictive...
A recent announcement from the Texas Medical Center Innovation (TMCi) noted that various startups, researchers, and entrepreneurs will join the spring 2023 Accelerator for HealthTech cohort and the...
A new study published this week in Radiology shows that a deep-learning (DL) model may help improve care for patients who arrive at the hospital with acute chest pain.
According to the news release,...
Published in Radiology, a study from the NYU Gross School of Medicine and Meta AI Research found that artificial intelligence (AI) can be used to reconstruct magnetic resonance imaging (MRI) scans...
A study published last week in JAMA Oncology highlights how researchers at Penn Medicine have developed a machine-learning (ML) intervention designed to predict cancer mortality risk and deliver...
In a recent commentary published in Cell Reports Medicine, University of Michigan researchers argued that the lack of education on healthcare artificial intelligence (AI) in medical school leaves...
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...