Predictive Analytics

American College of Surgeons Develops Cancer Survival Prediction Tool

October 30, 2023 - According to research presented at the American College of Surgeons (ACS) Clinical Congress 2023, a machine learning (ML) tool can accurately estimate patient-specific prognoses for thyroid, pancreatic, and breast cancer. Current methods to predict cancer patients’ survival rates rely mostly on cancer stage, which the researchers indicated...

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Cedars-Sinai Deep Learning Tool Accurately Predicts Atrial Fibrillation

by Shania Kennedy

Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to...

AI Tool Predicts Blood Clot Risk in Hospitalized Pediatric Patients

by Shania Kennedy

Researchers at Vanderbilt University Medical Center (VUMC) have developed an artificial intelligence (AI) tool capable of accurately identifying the risk of blood clots in pediatric patients, but found...

Artificial Intelligence Model May Help Predict Future Viral Outbreaks

by Shania Kennedy

Researchers from Harvard Medical School (HMS) and the University of Oxford have developed an artificial intelligence (AI) tool capable of predicting how a virus could evolve to escape the immune...

Predictive Models May Negatively Impact the Performance of Future Tools

by Shania Kennedy

Researchers from the Mount Sinai Icahn School of Medicine and the University of Michigan have found that the deployment of predictive analytics tools may influence the predictive capabilities of...

Precision Medicine Tool May Accurately Predict Bariatric Surgery Outcomes

by Shania Kennedy

Researchers from the University at Buffalo (UB) have demonstrated that a tool originally designed to predict a patient’s risk level for various addictions using genetic and psychosocial factors...

$2.8M NIH Grant to Support Development of Kidney Transplant AI

by Shania Kennedy

Researchers at University of Florida (UF) Health have been awarded a $2.8 million grant from the National Institutes of Health (NIH) to develop an artificial intelligence (AI)-based clinical decision...

AI Tool May Improve Tumor Removal Accuracy During Breast Cancer Surgery

by Shania Kennedy

Researchers from the University of North Carolina (UNC) Department of Surgery, the Joint UNC-North Carolina State University (NCSU) Department of Biomedical Engineering, and the UNC Lineberger...

University of Texas Awarded Funding for Disease Relapse Prediction AI

by Shania Kennedy

Researchers at the University of Texas at Arlington (UTA) have been awarded a $450,000 grant from the National Institute of General Medical Sciences to develop a machine learning-based model to predict...

How Can Predictive Analytics Help ACOs Boost Value-Based Care Delivery?

by Shania Kennedy

Accountable care organizations (ACOs) play a critical role in shifting the healthcare system toward value-based care, but population health management and care coordination initiatives require ACOs to invest in new technologies to achieve...

ML Predicts Suicidal Ideation Among Sexual, Gender Minority Individuals

by Shania Kennedy

Researchers demonstrated that a machine learning (ML) model could effectively predict short- and long-term suicidal ideation in sexual and gender minority individuals using ecological momentary...

Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

by Shania Kennedy

Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA...

Patient Triage Artificial Intelligence May Boost Future Outbreak Response

by Shania Kennedy

Researchers from Yale School of Public Health (YSPH) have developed an artificial intelligence (AI)-driven patient triage platform capable of forecasting length of hospitalization and disease severity...

Machine Learning Predicts Esophageal, Stomach Cancers Using EHR Data

by Shania Kennedy

A machine learning (ML) model can automatically predict esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years before a formal diagnosis, according to a study published...

ML Model Accurately Predicts 6-Month Mortality Risk for Cancer Patients

by Shania Kennedy

In a study recently published in JAMA Network Open, researchers have externally validated a machine learning (ML) model designed to predict six-month mortality risk for patients with advanced cancer...

Clinicians May Be Unprepared for Widespread CDS Algorithm Integration

by Shania Kennedy

In a perspective article recently published in the New England Journal of Medicine, researchers from the University of Maryland School of Medicine (UMSOM) and Beth Israel Deaconess Medical Center...

Breaking Down the 4 Types of Healthcare Big Data Analytics

by Shania Kennedy

Big data analytics has become a hot topic as healthcare systems have transitioned to EHRs and begun pursuing digital transformation. Patients generate massive amounts of data throughout their care journeys that could be used to improve...

Top Data Analytics Tools for Population Health Management

by Shania Kennedy

Effective population health management requires collecting, processing, and analyzing large amounts of patient data, making data analytics tools key for any population health initiative. Population health is often conceptualized based on...

Deterioration Index Model Modestly Predicts Patient Outcomes

by Mark Melchionna

A new study found that although the use of the Deterioration Index (DTI) within the hospital setting provided modest results, it inconsistently s handled various demographic groups. Researchers...

Scalable Tools Assisted Domestic Violence Risk Assessment

by Mark Melchionna

A new study effectively detects those at the highest risk of domestic violence re-offenses. This data would be valuable in allocating treatment toward malleable risk factors among high-risk...

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