University of California Davis researchers have received a $15 million, five-year grant renewal from the National Cancer Institute (NCI) to fund artificial intelligence (AI) projects aimed at improving...
An artificial intelligence (AI)-based method developed by researchers from Massachusetts General Hospital (MGH) can help identify early-stage melanoma patients at risk for cancer recurrence and assist...
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...
University Hospitals (UH) Cleveland Medical Center has been awarded artificial intelligence (AI)-based endoscopy tools by the Medtronic Health Equity Assistance Program, which will be used to support...
Researchers from the Artificial Intelligence (AI) in Medicine Program of Brigham and Women’s Hospital created a deep-learning algorithm to improve lung cancer radiation therapy treatment and...
The Medical Device Innovation Consortium (MDIC) has launched its Somatic Reference Samples (SRS) Initiative, which aims to develop and validate clinically relevant samples and public genomic datasets...
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...
A study from the Mahmood Lab at Brigham and Women’s Hospital revealed how artificial intelligence (AI) uses factors such as patient history and gene pathology to identify and anticipate potential...
New Jersey-based Hackensack University Medical Center has received funding from the Health Equity Assistance Program to support the installation of artificial intelligence (AI)-assisted colonoscopy...
A new study published in PLOS Digital Health shows that an automated care coordination tool can successfully identify and track cases of hepatocellular carcinoma (HCC), a type of liver cancer, which...
A Mayo Clinic-led study published in Gastroenterology shows that radiomics-based machine-learning (ML) models may help diagnose pancreatic cancer at an earlier, more treatable stage than standard...
A study published in The Lancet Digital Health this month highlights how a decision-referral approach, in which radiologists work with artificial intelligence (AI) models to evaluate breast cancer...
The Ohio State University (OSU) Wexner Medical Center and Siemens Healthineers have struck a partnership focused on advancing personalized medicine and improving access to high quality, cost-effective...
Physician-owned radiology company US Radiology Specialists is partnering with advanced artificial intelligence (AI) software company Volpara Health to deploy AI tools at Charlotte Radiology with the...
Miami Cancer Institute has partnered with COTA to eliminate disparities by using data and analytics to examine how patient demographics such as ethnicity and area of residence affect the quality of...
Researchers at Memorial Sloan Kettering Cancer Center (MSK) have created a tool that can sniff for and identify cancer in blood samples using machine learning.
Like the human nose, the tool uses...
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...
