Emergency Department Data Reveals Patients at High Risk of Suicide
People who presented to the emergency department (ED) with deliberate self-harm had suicide rate in the year after their visit that was 56.8 times higher than demographically similar individuals,...Using Artificial Intelligence to Strengthen Suicide Prevention
A team from the University of Southern California (USC) has designed an artificial intelligence algorithm capable of identifying individuals in real-life social groups who could be trained...Risk Score Could Predict Opioid Misuse Among Cancer Survivors
Evaluating clinical and socioeconomic data among cancer survivors could help providers develop risk scores to predict those at high risk of misusing opioids after treatment, according to a study...Genomic Data Boosts Psychosis Risk Prediction for High-Risk Patients
Using a polygenic risk score based on data from genome-wide association studies (GWAS) improves psychosis risk prediction in patients meeting clinical high-risk criteria, according to a study published...Cleveland Clinic Develops Risk Calculator for Diabetes Management
A new risk calculator developed by researchers at the Cleveland Clinic can show patients with type 2 diabetes their risks of developing major health complications over the next ten years. Weight-loss...Artificial Intelligence Accurately Screens for Diabetic Eye Disease
An artificial intelligence tool enabled non-ophthalmologists to accurately detect diabetic retinopathy in 60 seconds, making real-time screening possible for primary care organizations and diabetes...Deep Learning Bests Traditional Models in Risk Stratification
Leveraging deep learning technology and medical claims data, a predictive model was able to outperform traditional tools in pediatric patient risk stratification for hospitalizations, a study published...Machine Learning Tool Estimates Risk of Cardiovascular Death
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a machine learning tool that can estimate a patient’s risk of cardiovascular death based...Machine Learning Predicts Heart Failure Risk in Diabetes Patients
Using a machine learning model, researchers could accurately predict future heart failure among patients with diabetes, a study published in Diabetes Care revealed. Heart failure is a potential...Machine Learning Predicts Bleeding During Coronary Surgery
Researchers at Texas A&M University have developed a machine learning algorithm that can determine the probability of a patient bleeding during or after they have heart surgery, which could help...Precision Medicine, Genetic Interventions Effective for Diabetes
Interventions that focus on individuals’ genetic profiles can help reduce the risk of type 2 diabetes in susceptible patients, demonstrating the promise of precision medicine for this condition,...5 Successful Risk Scoring Tips to Improve Predictive Analytics
Risk scoring allows organizations to understand their population based on defined risk factors and anticipate the future risk of the group. A risk score is a metric used to predict aspects of a patient’s care (cost, risk of...Sponsored by Optum
