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...
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,...
The Centers for Disease Control and Prevention (CDC) and software company Palantir Technologies Inc. announced an extension of their 10-year partnership to address outbreak response and disease...
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...
A deep-learning algorithm outperformed clinicians at detecting proximal femoral fractures, a type of hip fracture, when presented with X-ray images, according to a study published in The Lancet Digital...
New York City-based Northwell Health and startup studio Aegis Ventures announced the launch of their healthcare artificial intelligence (AI) company creation platform, Ascertain.
The platform aims to...
An evidence-based AI development and deployment approach could address systemic issues and help standardize AI practices in healthcare.
"We need a movement for the health AI industry that is analogous to the evidence-based medicine...
Responsible, secure, and ethical artificial intelligence (AI) deployment in healthcare requires an informed, multi-disciplinary, and collaborative approach. But a lack of industry standards and consensus on how to responsibly deploy AI...
GuideWell’s subsidiary, Florida Blue, will become the first US payer to automate prior authorization approvals through a new artificial intelligence-powered clinical reviews tool developed by...
Michigan Medicine researchers have developed a new artificial intelligence method of measuring aortic growth that can assist clinicians in identifying potentially fatal heart conditions...
To address challenges such as health equity and the cost of care, the University of California, Irvine (UCI) announced the launch of the Institute for Precision Health (IPH).
The institute will...
A new machine-learning method used to identify and classify hip fractures has demonstrated its ability to outperform human clinicians.
Two convolutional neural networks (CNNs) developed at the...
University of Florida Health researchers have developed algorithms using artificial intelligence to accurately predict hepatitis C treatment outcomes.
The algorithms use machine learning to produce...
Biofourmis, a Boston-based company focused on artificial intelligence-driven virtual care and digital therapeutics, has launched Bioformis Care, a service that aims to deliver high-quality remote care...
University of Colorado (CU) Cancer Center researchers are assessing whether an artificial intelligence-powered diagnostic platform can assist endoscopists in identifying esophageal cancer in patients...
As health insurers and providers increasingly turn to machine-learning algorithms to enhance care, there is a growing concern among experts regarding equity, fairness, and bias in how the technology is...
