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...
Researchers from the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) and Intel Labs have announced the results of a joint study that leveraged federated learning (FL) to...
Researchers from Massachusetts General Hospital and Brigham and Women's Hospital have developed a deep-learning model that uses a single chest X-ray to predict the 10-year risk of death from a...
Google Health and mammography artificial intelligence (AI) vendor iCAD, Inc. announced a strategic partnership to integrate Google Health’s AI technology into iCAD’s portfolio of breast...
Researchers from Yale School of Medicine have identified biomarkers of attention-deficit/hyperactivity disorder (ADHD) using MRI exams and showcased the potential role of machine learning (ML)-based...
A team of researchers led by the University of Minnesota is examining federated learning (FL) techniques to evaluate their utility for diagnosing COVID-19 based on chest radiograph data.
FL models, a...
A research team from the University of Pittsburgh (Pitt) Swanson School of Engineering has been awarded a $1.7 million National Institutes of Health grant to develop a federated learning (FL)-based...
A study published this month in the Journal of Medical Systems shows that a deep learning (DL)-based mobile application can accurately identify monkeypox infection using images of skin lesions.
On...
New Jersey-based Hackensack Meridian Health is set to implement Google Cloud’s newly released Medical Imaging Suite to de-identify petabytes of images to enhance the health system’s...
Harvard Medical School (HMS) and Stanford University researchers have developed an artificial intelligence (AI) tool that can detect disease within chest radiographs using natural language processing...
Researchers from the University of Miami Miller School of Medicine are collaborating with medical technology company Qynapse Inc. to research the effects of COVID-19 on vascular contributions to...
A new study published in JAMA Network Open last week shows that machine-learning (ML) models developed using a crowdsourcing approach can improve efforts to quantify radiographic joint damage in...
A special report published in Radiology: Artificial Intelligence last week highlighted the practices that can lead to bias in artificial intelligence (AI) and machine-learning (ML) models increasingly...
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...
A proof-of-concept study published in the American Journal of Roentgenology shows that machine learning (ML) models can predict tumor recurrence in patients with early-stage hepatocellular carcinoma...
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...
