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...
Ohio-based Mercy Health – Springfield Regional Medical Center announced a collaboration with San Francisco-based software company Viz.ai to implement artificial intelligence (AI) solutions to...
A new study published in JAMA Cardiology shows how machine learning (ML)–based models that incorporate social determinants of health (SDOH) data improve the prediction of in-hospital mortality...
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 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 study published in Mayo Clinic Proceedings shows that machine-learning (ML) models can assist healthcare workers with differentiating between alcohol-associated hepatitis and acute cholangitis using...
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...
Digital primary care platform K Health in collaboration with Mayo Clinic Platform, Mayo Clinic’s portfolio of digital healthcare initiatives, launched a personalized hypertension treatment...
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...
Use of an artificial intelligence (AI) tool has shown the highest reported rate of type 2 diabetes remission to date, according to research presented at the 82nd Scientific Sessions of the American...
University of Florida (UF) researchers have developed a machine-learning (ML) platform, called MySurgeryRisk, that can predict surgical complications as accurately as clinicians.
Surgery and potential...
Researchers have developed and validated a machine-learning (ML) model that can accurately predict opioid overdose risk in Medicaid beneficiaries in Pennsylvania and Arizona, indicating that the model...
Columbia University Irving Medical Center (CUIMC) is leading a multi-hospital effort known as the CONCERN (COmmunicating Narrative Concerns Entered by RNs) Initiative, which aims to utilize...
Researchers found that suicide risk predictions for adult patients significantly improve when using an approach that combines in-person screening with an EHR-based machine-learning (ML) model.
The...
Danville, Pennsylvania-based Geisinger health system and biotechnology research company Tempus have developed an electrocardiogram (ECG)-based artificial intelligence (AI) model that can predict...
Researchers from the University of Washington’s School of Medicine and the Paul G. Allen School of Computer Science & Engineering have developed an artificial intelligence (AI) framework that...
Researchers have developed a framework to evaluate and address unrecognized modeling bias that can be present in healthcare-related artificial intelligence (AI).
According to a study published in...
Researchers have developed a prediction model that can convert coronavirus-related free text information from EMRs into symptom-based data.
In a study published in JMIR Medical Informatics,...
The Centers for Disease Control and Prevention (CDC) and wastewater epidemiology company Biobot Analytics have announced a partnership to expand the National Wastewater Surveillance System (NWSS),...
Research has found that machine-learning (ML) models can use standard clinical data to predict renal function decline (RFD) with similar accuracy to that of traditional prediction methods.
In a new...
