A study published in JAMA Network Open last month found that a prediction model could accurately forecast health-related quality of life (HRQOL) among adult survivors of childhood cancer using...
To meet the varied healthcare needs of pregnant women, Mayo Clinic researchers created an artificial intelligence (AI)-based risk prediction model that uses labor characteristics to indicate potential...
According to a Mayo Clinic-led study published in Gastroenterology earlier this month, an artificial intelligence (AI) model that incorporates a deep-learning framework may improve predictions of...
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...
Researchers have created a deep-learning prediction model that can identify physician burnout by pulling automatically generated EHR activity logs, which may be more convenient than standard approaches...
A research team from Clemson University has created an open-source model designed to help medical researchers build scalable prediction models that can represent extensive cellular interactions and...
A proof-of-concept study published in the American Journal of Roentgenology shows that machine learning (ML) models can predict tumor recurrence in patients with early-stage hepatocellular carcinoma...
A study from the Mahmood Lab at Brigham and Women’s Hospital revealed how artificial intelligence (AI) uses factors such as patient history and gene pathology to identify and anticipate potential...
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...
Researchers from the UT Southwestern Medical Center have developed artificial intelligence (AI) algorithms capable of predicting the role and structure of DNA’s regulatory elements, which could...
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 team of researchers has developed a prediction model capable of forecasting post-operative outpatient opioid use following gynecological surgery, which is currently being implemented in the clinical...
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...
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...
