A new study published this month in npj Digital Medicine shows the positive impact of the multisite implementation of a workflow-integrated machine-learning (ML) system to predict short-term risk and...
Researchers at Harvard and the University of Washington School of Medicine (UW Medicine) have developed an artificial intelligence (AI) software that uses deep learning to design proteins with various...
Researchers have developed a machine learning (ML) model capable of estimating national weekly opioid overdose mortality trends in near real-time using proxy data sources such as public health...
A recently developed artificial intelligence (AI) model out of the University of Michigan (U-M) can predict hemodynamic instability, a key indicator of patient deterioration, more accurately than...
A new study published in the Journal of Medical Internet Research shows that machine-learning (ML) models can effectively predict the risk of postpartum hemorrhage using data pulled from de-identified...
A new study in JAMA Network Open found that the use of an artificial intelligence (AI)-based tool designed to review videos of small bowel capsule endoscopy (SBCE) resulted in a higher detection rate...
A new study published in JAMA Network Open assesses an artificial intelligence (AI) tool that can predict the likelihood of patients developing sepsis and the severity of the infection as quickly as 12...
Cincinnati Children’s Hospital Medical Center has announced a partnership with research intelligence company Epistemic AI and the Boomer Esiason Foundation (BEF), which will enable the Cincinnati...
A Mayo Clinic-led study published in Gastroenterology shows that radiomics-based machine-learning (ML) models may help diagnose pancreatic cancer at an earlier, more treatable stage than standard...
In a prognostic study published in JAMA Network Open, researchers described the development of a deep-learning (DL) model that can effectively predict cerebral palsy based on infants’ spontaneous...
A new study published in JAMA Network Open indicates that machine-learning (ML) models designed to analyze handgun transaction data can accurately forecast firearm suicide risk, resulting in insights...
NewYork-Presbyterian, with physicians from its affiliated medical schools, Weill Cornell Medicine and Columbia University Vagelos College of Physicians and Surgeons (Columbia University VP&S), is...
A team of researchers at Cedars-Sinai Medical Center has developed artificial intelligence (AI) and machine learning (ML) algorithms to predict which patients are most likely to successfully manage...
The US Defense Health Agency (DHA) has announced that its PTSD Drug Treatment (PTSD-DT) Program will utilize New York-based artificial intelligence (AI) and data analytics company AiCure’s...
Researchers have determined that an artificial intelligence (AI) algorithm can determine stool characteristics with high accuracy using smartphone images, outperforming patient self-reporting,...
A new study published in BMC Medical Research Methodology highlights how researchers developed and trained machine-learning (ML) models that can accurately predict 30-day mortality in patients with...
A study published in The Lancet Digital Health this month highlights how a decision-referral approach, in which radiologists work with artificial intelligence (AI) models to evaluate breast cancer...
A new study published this week in JAMA Network Open shows that a recently developed risk prediction model can identify term neonates at risk of perinatal arterial ischemic stroke (PAIS) using common...
A study published in Nature Communications outlines a newly-developed artificial intelligence (AI) framework that can successfully identify and differentiate between normal cognition (NC), mild...
Researchers from Massachusetts General Hospital (MGH) have developed an artificial intelligence (AI) model that utilizes deep learning to estimate individuals’ psychological age, future...
