Patient Outcomes

Machine learning predicts hospitalization during cancer treatment

April 8, 2024 - Machine learning tools can accurately forecast an unplanned hospitalization event during concurrent chemoradiotherapy (CRT) using patient-generated health data from wearable devices, according to a study published recently in JAMA Oncology. The research team indicated that the toxic effects of CRT can result in treatment interruptions and...

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Clinical deterioration AI contributes to reduced care escalation risk

by Shania Kennedy

Researchers have demonstrated that an artificial intelligence (AI) model designed to detect clinical deterioration was associated with a significantly decreased risk of inpatient escalations in care,...

Machine learning predicts perioperative peripheral artery disease risk

by Shania Kennedy

Machine learning (ML) algorithms can accurately predict one-year major adverse limb event (MALE) or death following endovascular intervention for peripheral artery disease (PAD), according to a study...

Predictive tool use has little effect on knee surgery decision-making

by Shania Kennedy

Researchers demonstrated that the use of a tool to predict total knee arthroplasty (TKA) in patients with knee osteoarthritis had little impact on patient-reported willingness to undergo the procedure,...

Machine Learning Models Predict Mortality Among Dementia Patients

by Shania Kennedy

Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this week in...

AI Provides Personalized Treatment Strategies for Esophageal Cancer

by Shania Kennedy

A research team from the University of Texas at Arlington (UTA) has developed an algorithm to provide optimal personalized treatment options for esophageal cancer patients, according to a January study...

Researchers Call for Outcome-Centric Approach to Health AI Regulation

by Shania Kennedy

In a recent viewpoint published in the Journal of the American Medical Association (JAMA), researchers from the University of California San Diego (UCSD) argued that the White House Executive Order on...

Machine Learning Tool Predicts Heart Failure Treatment Response

by Shania Kennedy

A research team from The Texas Heart Institute recently developed a machine learning (ML) tool capable of characterizing and predicting diuretic responsiveness in individuals with acute decompensated...

UCLA Releases Public-Access Surgical Outcomes Database for AI Training

by Shania Kennedy

Researchers from the University of California, Los Angeles (UCLA) and the University of California, Irvine (UCI) have developed a repository of surgical outcomes data to help the medical research...

AI-Driven Eye Exams May Increase Screening Rates Among Diabetic Youth

by Shania Kennedy

A research team from Johns Hopkins Children’s Center has found that an autonomous artificial intelligence (AI) tool to screen youth populations for diabetic eye disease (DED) can also increase...

Risk Prediction Model Forecasts Intensive Care Unit Admission, Survival

by Shania Kennedy

Researchers have developed a risk score to predict intensive care unit (ICU) admission and ICU survival among community-dwelling older adults, according to a study published in Health Science...

Deep Learning Model Predicts Mortality Following Medical Procedures

by Shania Kennedy

Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative...

Providers, Payers Sign Pledge for Ethical, Responsible AI in Healthcare

by Shania Kennedy

At the 2023 Office of the National Coordinator for Health Information Technology (ONC) Annual Meeting, 28 health systems and payers signed a pledge to advance the ethical and responsible use of...

Predictive Model Accurately Flags Postpancreatectomy Hemorrhage Risk

by Shania Kennedy

Researchers have developed and validated a predictive model capable of identifying late postpancreatectomy hemorrhage (PPH) risk in patients with postoperative pancreatic fistula (cr-POPF) following...

New Healthcare AI Framework Incorporates Medical Knowledge, Values

by Shania Kennedy

A novel normative framework for healthcare artificial intelligence (AI), described in a recent issue of Patterns, asserts that medical knowledge, procedures, practices, and values should be considered...

ML Model Estimates Chemotherapy Success in Bone Cancer Patients

by Shania Kennedy

Researchers at Johns Hopkins Medicine have developed a machine learning (ML) tool capable of estimating the percent necrosis (PN)—the percentage of a tumor that is considered “dead”...

AI Pain Recognition Tool Detects Pain Before, During and After Surgery

by Shania Kennedy

Researchers presenting at the ANESTHESIOLOGY 2023 annual meeting demonstrated that an automated pain recognition system leveraging artificial intelligence (AI) may be capable of detecting pain in...

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...

AHIMA Launches Social Determinants of Health Data Initiative

by Shania Kennedy

The American Health Information Management Association (AHIMA) announced its Data for Better Health initiative, which aims to revolutionize healthcare through the use of social determinants of health...

Risk Stratification May Reduce Unnecessary Pediatric Oophorectomies

by Shania Kennedy

A consensus-based, preoperative risk stratification algorithm may help reduce unnecessary oophorectomies in pediatric and adolescent patients with benign ovarian disease, according to a study published...

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