Researchers have developed machine learning (ML) methods that can accurately identify predictors associated with fetal heart rate changes following neuraxial analgesia in healthy pregnant patients,...
Researchers have demonstrated that a machine learning (ML)-based clinical decision support tool can accurately triage patients with respiratory symptoms before they visit a primary care clinic, which...
Research from the University of California San Diego described a head-worn wearable device that leverages machine learning and a noninvasive brain imaging technique called magnetoencephalography (MEG)...
The Permanente Medical Group launched the Kaiser Permanente Northern California Division of Research (KP-DOR) Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) Coordinating Center,...
Researchers from Boston University and Australia-based University of New South Wales (UNSW Sydney) developed a machine learning (ML) tool that predict Parkinson’s disease onset years before...
Researchers at the Johns Hopkins Convergence Institute and the Johns Hopkins Kimmel Cancer Center have developed a machine learning (ML) model capable of identifying molecular interactions among the...
The Cedars-Sinai Department of Computational Biomedicine established the Center for Artificial Intelligence Research and Education (CAIRE) this week to drive innovation in artificial intelligence (AI),...
Researchers from Weill Cornell Medicine using machine learning (ML)-based analysis of electronic health record (EHR) data found that long COVID risk and symptoms present differently across diverse...
New research from the Icahn School of Medicine at Mount Sinai in New York indicated that using Apple Watch data, such as heart rate variability and resting heart rate, could assist in training machine...
Northwestern University researchers found that secondary bacterial pneumonia was a major driver of COVID-19 deaths in critically ill patients following a machine learning (ML)-based analysis of medical...
Massachusetts Institute of Technology (MIT) and health technology company Philips announced an expansion to their critical care dataset at HIMSS 2023 earlier this week, giving researchers access to...
Published in the International Journal of Epidemiology, a new UCLA study describes how a machine-learning technique known as “casual forest” could determine the hypertension patients that...
Artificial intelligence can help identify subtle changes in a patient’s voice and speech patterns, which may help clinicians diagnose cognitive impairment and Alzheimer’s disease before...
Researchers at Well Cornell Medicine have identified four subtypes of autism spectrum disorder (ASD) linked to distinct molecular pathways in the brain using machine learning (ML).
The findings...
Using KelaHealth’s Surgical Intelligence Platform, the Advocate Aurora Research Institute aims to combine the capabilities of artificial intelligence (AI) and machine learning (ML) to determine...
Published in the Journal of Medical Internet Research, findings from Florida International University’s College of Business (FIU Business) indicate that a new machine-learning (ML) algorithm...
Nationwide Children's Hospital developed and deployed a machine-learning (ML) model that uses the deterioration risk index to promptly predict hospitalized children at risk for pediatric...
Researchers from Ohio State University (OSU) have developed a machine learning (ML) model that can accurately estimate optimal treatment timing for sepsis cases and support clinical decision-making,...
A study published last month in JAMA Network Open described a new machine learning (ML) tool that may assist clinicians in identifying older adults with advanced cancer who are at higher risk of...
The Food and Drug Administration (FDA) released new draft guidance last week proposing an approach to ensure that artificial intelligence (AI) and machine learning (ML)-enabled devices can be safely...
