A new study published in BMJ Health & Care Informatics shows that machine-learning (ML) models can accurately predict autism spectrum disorder (ASD) risk in children 18 to 30 months old using...
Researchers from Weill Cornell Medicine, NewYork-Presbyterian, the University of Chicago, Brigham and Women’s Hospital, and Mayo Clinic have created a machine learning (ML)-based screening tool...
New research shows that machine-learning (ML) tools can use perioperative data to accurately predict post-operative complications and surgery duration.
Surgery and its potential complications create...
Illinois-based Blessing Health System has integrated an artificial intelligence (AI)-based sepsis surveillance tool into its clinical workflows, enabling the health system to identify patients with...
New research published in BMJ Innovations last week shows that a machine-learning (ML) algorithm trained to analyze electrocardiogram readings can accurately predict pre-diabetes and type 2 diabetes in...
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 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...
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 earlier this month showed that personalized artificial intelligence (AI) models for acute kidney injury (AKI) risk prediction, which use common EHR variables,...
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 new study published in the Journal of Medical Internet Research earlier this month showed that clinical risk prediction models for sepsis, delirium, and acute kidney injury (AKI) achieve high...
For better chronic disease management, Boston University researchers recommend replacing the term “race” with underlying factors that indicate an increased risk for heart attacks...
During the COVID-19 pandemic, organizations witnessed the consequences of fee-for-service as providers and patients struggled with communication and revenue.
While value-based care...
By studying genetic mutations in patients with schizophrenia, researchers can identify disease-associated genetic variants, paving the way for precision medicine.
The research was conducted...
A novel artificial intelligence score allows for accurate forecasting of death within ten years for patients with suspected or known coronary artery disease.
Unlike traditional methods based on...
According to Mayo Clinic researchers, a novel artificial intelligence algorithm can predict long-term patient survival after cardiac surgery.
The research team found an algorithm that previously...
University of Utah engineers are developing a diagnostic tool for breast cancer that can be used more frequently and in younger patients. According to the engineers, the tool could significantly...
Through data analysis, University of Houston researchers created a real-time COVID-19 infection risk assessment and mitigation (RT-CIRAM) system.
With the high transmission rates of COVID-19,...
To improve population health efforts, the Icahn Scholl of Medicine at Mount Sinai will serve as the lead site of enrollment for two cohort studies examining the long-term effects of COVID-19. The...
