According to a Mayo Clinic-led study published in Gastroenterology earlier this month, an artificial intelligence (AI) model that incorporates a deep-learning framework may improve predictions of...
New research shows that machine-learning (ML) tools can use perioperative data to accurately predict post-operative complications and surgery duration.
Surgery and its potential complications create...
Researchers have created a deep-learning prediction model that can identify physician burnout by pulling automatically generated EHR activity logs, which may be more convenient than standard approaches...
New research published in JAMA Network Open indicates that a deep learning tool trained to identify and classify brain tumors based on standard MRIs may aid neuroradiologists in diagnosis.
The...
Researchers at Harvard and the University of Washington School of Medicine (UW Medicine) have developed an artificial intelligence (AI) software that uses deep learning to design proteins with various...
A new study in JAMA Network Open found that the use of an artificial intelligence (AI)-based tool designed to review videos of small bowel capsule endoscopy (SBCE) resulted in a higher detection rate...
In a prognostic study published in JAMA Network Open, researchers described the development of a deep-learning (DL) model that can effectively predict cerebral palsy based on infants’ spontaneous...
A study published in Nature Communications outlines a newly-developed artificial intelligence (AI) framework that can successfully identify and differentiate between normal cognition (NC), mild...
Researchers from Massachusetts General Hospital (MGH) have developed an artificial intelligence (AI) model that utilizes deep learning to estimate individuals’ psychological age, future...
Researchers have found that deep neural networks (DNNs) make mistakes in image-based medical diagnoses that humans are less likely to make, and they hypothesize that these mistakes may indicate that...
Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a machine-learning (ML) platform to help clinicians identify cancer mutations and interpret their potential significance...
Deep learning (DL), which is also known as deep structured learning or hierarchical learning, is a subset of machine learning. It is loosely based on the way neurons connect to one another to process information in animal brains. To...
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...
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...
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...
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 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...
According to recently published data from the Association for Professionals in Infection Control (APIC), several commonly used machine learning algorithms (MLAs) can accurately predict which...
