Research has found that machine-learning (ML) models can use standard clinical data to predict renal function decline (RFD) with similar accuracy to that of traditional prediction methods.
In a new...
Mayo Clinic researchers have created an artificial intelligence (AI) algorithm that uses single-lead Apple Watch electrocardiogram signals to detect a weak heart pump, specifically low ventricular...
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...
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...
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),...
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...
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,...
Medical University of South Carolina (MUSC Health) has partnered with Florida-based health IT company Andor Health to improve telehealth sustainability.
MUSC Health is one of two federally recognized...
Researchers from the National Institutes of Health Clinical Center developed a new artificial intelligence (AI) model that analyzed various factors relating to pancreas health and fat levels using...
A recently published diagnostic modeling study published in JAMA Network Open successfully developed machine-learning algorithms to predict occult nodal metastasis in patients with early-stage oral...