Researchers at the University of Southern California (USC) Roski Eye Institute are exploring how the use of artificial intelligence (AI) in ophthalmology may help automate clinical tasks, allocate...
Researchers evaluating an artificial intelligence (AI) model’s ability to estimate prostate cancer extent and define focal treatment margins for tumors demonstrated that the model outperformed...
Researchers at Washington University in St. Louis are investigating how deep learning (DL) tools to “denoise,” or clean up, medical images impact the clinical utility of those...
Incorrect advice from artificial intelligence (AI)-based decision support systems may negatively impact the performance and accuracy of radiologists at all levels of expertise when reading mammograms,...
Researchers demonstrated that artificial intelligence (AI) can assist with the triage of patients with palpable breast masses and accurately identify cancer using images from low-cost, portable...
Researchers from the University of Maryland School of Medicine (UMSOM) found that most crowd-sourced datasets used in medical imaging data science competitions to develop artificial intelligence (AI)...
Researchers from The University of Texas at Austin (UT Austin) have developed an artificial intelligence (AI) system that is capable of translating a person’s brain activity into a continuous...
Researchers from Mayo Clinic demonstrated that an automated deep learning (DL) tool could help improve radiation therapy planning for patients with head and neck cancer, according to a validation study...
Researchers from the University of Texas at San Antonio (UTSA), UT Health San Antonio, and the University of Pittsburgh have developed a generative artificial intelligence (AI) tool to improve adaptive...
University of Florida (UF) Health and Nuance Communications Inc., a Microsoft company, have launched a collaboration aimed at leveraging artificial intelligence (AI) to make radiologists’ work...
Researchers at Well Cornell Medicine have identified four subtypes of autism spectrum disorder (ASD) linked to distinct molecular pathways in the brain using machine learning (ML).
The findings...
Researchers from Cedars-Sinai have shown that an artificial intelligence (AI) tool’s performance was superior to that of sonographers when assessing and diagnosing cardiac function, according to...
Researchers have developed an artificial intelligence (AI)-based tool for the assessment of psoriasis severity in an effort to facilitate long-term chronic disease self-management for patients,...
A systematic review published last week in JAMA Network Open evaluating potential risks of translating neuroimaging-based artificial intelligence (AI) models into direct clinical applications, such as...
In a study published this week in Radiology, researchers sought to investigate the clinical impact of autonomous radiograph reporting using a commercially available artificial intelligence (AI) tool...
New Jersey-based AtlantiCare is deploying pre-operative artificial intelligence (AI) assessment tools and robotic bronchoscopy techniques to support early lung cancer diagnosis and treatment.
The...
A recent white paper published by Frost & Sullivan and Canon Medical Informatics indicates that scalable, enterprise-level solutions and strategies for imaging and informatics are needed to drive...
A new study published this week in Radiology shows that a deep-learning (DL) model may help improve care for patients who arrive at the hospital with acute chest pain.
According to the news release,...
A study published this week in BMC Medical Education identified substantial favorability toward artificial intelligence (AI) in healthcare and AI applied to musculoskeletal (MSK) care, such as skeletal...
A new study published last week in JAMA Network Open shows that an artificial intelligence (AI) model can accurately detect simple and tension pneumothorax on chest radiographs.
According to Mayo...