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...
Researchers have developed lymph node metastasis (LNM) prediction models based on natural language processing (NLP) and machine-learning (ML) algorithms.
In a study published in JMIR Medical...
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...
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,...
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...
