During the 83rd Scientific Sessions held by the American Diabetes Association (ADA) in San Diego, California, over the weekend, researchers presented studies detailing advancements in diabetes care...
The Jump Applied Research through Community Health through Engineering and Simulation (ARCHES) research and development program has announced that almost $1.2 million in grant funding has been awarded...
A study published last week in JAMA Network Open demonstrated that four widely used predictive models for estimating ten-year dementia risk have limited clinical value and utility, indicating that more...
Researchers have shown that omitting race and ethnicity as predictors in colorectal cancer recurrence risk prediction models may be associated with racial and ethnic biases that contribute to health...
Researchers at New York University (NYU) Grossman School of Medicine have developed a large language model (LLM) capable of predicting multiple clinical outcomes, including readmissions, and the tool...
Research from the Radiological Society of North America (RSNA) indicates that artificial intelligence (AI) algorithms performed better than the Breast Cancer Surveillance Consortium (BCSC) risk model...
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 developed a health informatics tool capable of detecting antibiotic allergy adverse events in near real-time, which may help provide clinicians with feedback about the harms of...
Computed tomography (CT) scans for coronary artery calcium significantly improved risk predictions for heart disease in middle-aged patients compared to polygenic risk scores, according to a study...
The Centers for Disease Control and Prevention (CDC) recently announced a new Notice of Funding Opportunity (NOFO) via the Center for Forecasting and Outbreak Analytics (CFA) aimed at enhancing...
Artificial intelligence (AI) algorithms used to screen for and predict type 2 diabetes may be racially biased, which could perpetuate health disparities, according to a study published last week in...
Researchers from Sanford Burnham Prebys and the Chinese University of Hong Kong validated a predictive analytics approach to forecast whether type 2 diabetes patients will develop kidney disease,...
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...
Published in Nature Medicine, new research led by investigators from Harvard Medical School and the University of Copenhagen describes an artificial intelligence (AI)-based tool that aims to enhance...
Mayo Clinic Platform announced an expansion to its distributed data network, Mayo Clinic Platform_Connect, through new global partnerships with Hospital Israelita Albert Einstein in Brazil, Sheba...
Children's Mercy Kansas City and GE HealthCare have launched the Patient Progression Hub – a hospital operations center designed to leverage artificial intelligence (AI), predictive...
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...
Published in the journal Artificial Intelligence in Medicine, new study findings describe how researchers from Children’s Hospital of Philadelphia (CHOP) and Drexel University used a new...
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 describes how researchers combined data from wearable devices and machine-learning (ML) methodologies to help predict attention-deficit/hyperactivity...
