Researchers have found that a machine learning-based clinical decision support system (CDSS) significantly impacted treatment success and antibiotic prescription behavior for urinary tract infections...
Atlantic Health System and New York-based artificial intelligence healthcare solutions company Aidoc have announced a partnership to implement an AI imaging solution to help physicians expedite care...
Researchers have validated and developed machine-learning (ML) models that can predict six-month mortality for patients with advanced solid tumors who are considering a new line of therapy (LoT).
A...
As the United States continues to see high rates of COVID-19 hospitalizations, providers must make difficult decisions regarding allocating medical resources to patients who may need them most. While physicians can speculate about an...
University of Minnesota Medical School researchers evaluated the real-time performance of a machine learning tool that supported clinical decision-making for emergency department discharges at M...
For better chronic disease management, Boston University researchers recommend replacing the term “race” with underlying factors that indicate an increased risk for heart attacks...
The University of Pennsylvania’s School of Nursing, the Perelman School of Medicine, and other departments across the university are working together to create the Penn Artificial Intelligence...
According to researchers, artificial intelligence could assist doctors in allocating resources during the COVID-19 pandemic by identifying patients who require intensive care unit (ICU) treatment.
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While artificial intelligence has become essential in advancing medical research, scientists have yet to work out all the technology’s flaws. A University of Texas at Arlington computer scientist...
University of Colorado Cancer Center researchers are gathering data insights to create a decision-making tool for women who receive a breast cancer diagnosis.
In 2019, assistant professor...
Eye health company Bausch + Lomb announced an agreement with software development company Lochan to develop the next generation of eyeTELLIGENCE, Bausch + Lomb’s clinical decision support...
Google Cloud and HCA Healthcare have announced a partnership to enhance data analytics and clinical decision support technologies at HCA Healthcare.
The organizations will work to create a secure and...
Researchers effectively trained machine learning models to predict the risk of gastrointestinal bleeding (GIB) within six to twelve months of a patient being prescribed antithrombotic drugs, according...
Using machine learning, clinicians may be able to choose which imaging test to use for patients who may have coronary artery disease, a condition caused by plaque buildup in the arterial wall.
Yale...
Machine learning can quickly analyze EHR data to identify chronic kidney disease, a condition which often goes undetected until it causes irreversible damage, a study published in npj Digital Medicine...
An artificial intelligence algorithm is able to mine EHR data and suggest the best diagnostic approaches, leading to enhanced diagnoses and treatments, according to a study published in the Journal of...
A deep learning tool was able to accurately predict survival expectancy in patients with lung cancer, potentially leading to more informed care decisions by providers, according to a study published in...
A clinical decision support tool can guide clinicians through diagnostic evaluations of patients with COVID-19 symptoms, significantly reducing the time it takes to assess these patients, according to...
A digital clinical decision support tool can help providers determine whether a child’s diarrhea is caused by bacteria or a virus and potentially cut inappropriate antibiotic use, according to a...
A deep learning tool may be able to analyze medical images and dramatically reduce pain disparities in underserved populations, a study published in Nature Medicine revealed.
In society today, pain is...