New research has found that a deep-learning (DL) algorithm can detect multiple retinal diseases simultaneously in a clinical setting.
In a study published in JAMA Network Open, researchers developed...
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 developed lymph node metastasis (LNM) prediction models based on natural language processing (NLP) and machine-learning (ML) algorithms.
In a study published in JMIR Medical...
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...
While researching the correlation between COVID-19 and health outcomes, a study published in Scientific Reports used risk models to discover that vital signs, lab results, and age are factors that...
A deep-learning model can accurately predict pediatric no-shows using data from patient EHRs and local weather information, which can then be used to implement no-show prevention measures, according to...
A new study published in Applied Soft Computing found that the content of emergency response phone calls could be analyzed and classified by a deep learning model based on emotion detection, and then...
According to researchers from UPMC and the University of Pittsburgh School of Medicine, advanced machine learning can be used to predict outcomes in patients with severe traumatic brain injuries...
While reviewing strategies for detecting and managing COVID-19, a recent study found that wearable sensors that monitor heart rate, skin temperature, and respiratory rate showed promise.
Researchers...
Researchers have developed a convolutional neural network (CNN) model, a type of deep learning model, for classifying epileptic seizures that is designed to provide maximum accuracy and minor...
A new study published in Nature explored swarm learning (SL) models as predictors of molecular alterations directly from standard histopathology images and hypothesized that these models could be a...
An artificial intelligence (AI)-driven system assisted in evaluating bladder cancer patient responses to chemotherapy, a University of Michigan Health Lab study found.
When a patient develops bladder...
A systematic review published in PLOS Digital Health proposed the creation of a unified hospital length of stay (LoS) prediction framework following the analysis of recent developments in LoS...
According to researchers from the Pennsylvania State University’s College of Information Sciences and Technology, artificial intelligence (AI) can help solve challenges posed by current computer...
A scoping review published in JMIR Mental Health explored how natural language processing (NLP) methods have been used by researchers to better understand bipolar disorder and identified opportunities...
Cancer risk stratification company PreciseDx, a Mount Sinai Health System spin-off, has developed artificial intelligence-enabled digital pathology technology to detect Parkinson’s disease (PD),...
The Department of Health and Human Services (HHS) announced the availability of $90 million from the American Rescue Plan to fund data-driven efforts by Health Resources and Services Administration...
Machine learning (ML) algorithms that leveraged an administrative database outperformed conventional methods of predicting sepsis mortality rates, according to a study published in the Journal of...
Golden Valley Memorial Healthcare (GVMH) in Clinton, Missouri, has partnered with Massachusetts-based electronic health record (EHR) company MEDITECH to utilize genomics in patient care.
To...
A study published in The Lancet Digital Health indicates that the use of artificial intelligence (AI) during screening colonoscopies has the potential to prevent colorectal cancer (CRC) incidence,...
