Researchers from the Medical University of South Carolina (MUSC) have developed a deep-learning (DL) approach that can identify patients with cirrhosis using clinical text in EHRs, according to a study...
Published in PLOS ONE, a recent study described how a team of researchers at Massachusetts General Hospital (MGH) developed and validated an artificial intelligence (AI) model, specifically a...
Researchers from Massachusetts General Hospital (MGH) and AnsibleHealth, a technology-enabled medical practice providing care to medically complex chronic respiratory disease patients, found in a...
A recent study published in JAMA Network Open described the development and use of a deep-learning algorithm that could help radiologists differentiate between colon carcinoma (CC) and acute...
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,...
Researchers from Mass General Brigham and the Massachusetts Institute of Technology (MIT) have developed a deep-learning (DL) tool that can predict the risk of lung cancer for individuals with or...
In a recent study, researchers validated a deep-learning (DL) model to predict lung cancer risk using chest radiographs and EMR data.
The Centers for Disease Control and Prevention (CDC) report that...
Published in Nature Biotechnology, researchers from the University of California San Diego School of Medicine and Rady Children’s Institute described the creation of a deep-learning model that...
In a blog post published last week, experts from Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) discussed the opportunities provided by foundation models for AI...
A study published last month in JAMA Network Open found that a previously validated, high-performing ensemble of deep-learning (DL) models for automated mammography interpretation did not generalize to...
With the goal of identifying a more efficient method of deciphering clinical notes, researchers from MIT described how a deep-learning model helped clean up her data, leading to information extraction...
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...
Researchers from Emory University and University Hospitals (UH) Cleveland have developed a deep learning (DL)-based liver fat assessment tool which shows that patients with nonalcoholic fatty liver...
Researchers at the University of Houston (UH) have developed an artificial intelligence (AI)-based clinical decision support tool that leverages deep learning (DL) to predict which patients are more...
Researchers in the Division of Artificial Intelligence in Medicine at Cedars-Sinai have developed artificial intelligence (AI) models that improve quality and accuracy in heart imaging, predicting...
A study conducted by ECOG-ACRIN Cancer Research Group found that using a deep-learning algorithm that leverages standard computed tomography (CT) scan images showed promise in assessing cancer spread...
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...
Investigators from the Mahmood Lab at Harvard Medical School and Brigham and Women’s Hospital found that an artificial intelligence (AI) model, known as Self-Supervised Image Search for Histology...
Published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS), new research findings from the University of Minnesota indicate that the use of data science...
New research published this week in the journal Radiology found that a deep-learning (DL) system developed by Google performs on par with radiologists at detecting active pulmonary tuberculosis (TB)...
