Published in Nature Medicine, a study conducted by Mayo Clinic researchers describes how artificial intelligence (AI) can be used to assess electrocardiogram (ECG) recordings to detect heart failure...
A study published this month in BMC Medical Research Methodology outlines how to develop high-quality machine learning (ML)-based models for use in clinical research and medicine through the use of...
In a new study published last week in JAMA Network Open, researchers found that a suite of predictive analytics tools leveraging readily available EHR data can accurately identify all-cause 30-day...
In an article published last month in Nature Medicine, researchers argued that artificial intelligence could improve patient experience in decentralized clinical trials through the use of reinforcement...
A recent study published in the American Journal of Managed Care found that identifying high-cost members was made easier through the implementation of artificial intelligence (AI) and the analysis of...
University of California Davis researchers have received a $15 million, five-year grant renewal from the National Cancer Institute (NCI) to fund artificial intelligence (AI) projects aimed at improving...
Artificial intelligence (AI) supported a clinical trial focused on assessing treatment methods for a rare genetic disease known as activity-dependent neuroprotective protein (ADNP) syndrome.
ADNP...
Researchers at the University of Houston (UH) have developed an artificial intelligence (AI)-based clinical decision support tool that leverages deep learning (DL) to predict which patients are more...
A recent Mayo Clinic study found that the use of an artificial intelligence (AI)-enabled screening tool displayed the ability to assist providers while diagnosing low left ventricular ejection...
A new study published in JAMA Network Open found that adding continuous intraoperative data to routinely collected perioperative data used by machine learning (ML)-based mortality prediction models...
Pennsylvania-based Temple University Health System (Temple Health) and artificial intelligence (AI) healthcare solution company Aidoc have partnered to use AI to reduce the length of stay and cost of...
An artificial intelligence (AI)-based method developed by researchers from Massachusetts General Hospital (MGH) can help identify early-stage melanoma patients at risk for cancer recurrence and assist...
A new study published in JAMA Network Open last week described how a machine-learning (ML) tool accurately identified a set of biomarkers for neonatal opioid withdrawal syndrome (NOWS) using newborn...
A new study published this month in JAMA Network Open found that an automated natural language processing (NLP) tool relying on clinical notes and EHR data achieved similar predictive performance to a...
A team of Yale University researchers has developed a machine learning (ML)-based clinical decision support tool to personalize recommendations for pursuing intensive or standard blood pressure...
Researchers in the Division of Artificial Intelligence in Medicine at Cedars-Sinai have developed artificial intelligence (AI) models that improve quality and accuracy in heart imaging, predicting...
A research team from the University of Iowa is developing a device that leverages artificial intelligence (AI) to perform simple radiology tasks and procedures in an effort to supplement staff and...
A study conducted by ECOG-ACRIN Cancer Research Group found that using a deep-learning algorithm that leverages standard computed tomography (CT) scan images showed promise in assessing cancer spread...
A research team from the University of Pittsburgh (Pitt) Swanson School of Engineering has been awarded a $1.7 million National Institutes of Health grant to develop a federated learning (FL)-based...
A research team from University of Florida (UF) Health and the University of Pennsylvania Perelman School of Medicine (Penn Medicine) have announced that they will develop a set of predictive analytics...
