H. Lee Moffitt Cancer Center & Research Institute researchers developed a deep learning model that uses PET/CT images to measure levels of the Programmed death-ligand 1 (PD-L1) biomarker and...
Combining astronomic image analysis and sky-mapping with tumor imaging enables researchers to guide targeted cancer immunotherapy, according to a new study published in Science.
Researchers from the...
Mayo Clinic signed a multi-year collaboration agreement with Visage Imaging, the US subsidiary of Australian company Pro Medicus Limited, to research and develop artificial intelligence in healthcare,...
Using deep learning, radiologists could more accurately evaluate lung cancer types on CT scans and improve treatment plans, according to a study published in the Journal of Medical Imaging.
The...
Using machine learning, clinicians may be able to choose which imaging test to use for patients who may have coronary artery disease, a condition caused by plaque buildup in the arterial wall.
Yale...
Researchers from the University of Florida will use a $5 million grant from NIH to test a new artificial intelligence tool aimed at improving the diagnosis of Parkinson’s and related...
Artificial intelligence tools were able to process brain images and classify Alzheimer’s disease with improved accuracy, which could lead to the development of better treatments, according to a...
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a predictive analytics model that can jointly model a patient’s breast cancer risk...
A deep learning tool may be able to analyze medical images and dramatically reduce pain disparities in underserved populations, a study published in Nature Medicine revealed.
In society today, pain is...
Medical imaging data has always played a critical role in healthcare delivery, allowing researchers and providers to collect meaningful information for better decision-making.
Since the dawn of...
Deep learning technology can help researchers make sense of complex DNA methylation data to understand gene expression changes in tumors, study published in Genome Biology revealed.
DNA methylation...
The use of both genetic data and medical imaging could increase the accuracy of prostate cancer risk prediction, leading to more informed decision-making and proactive care, according to a study...
Properly trained deep learning models could offer better insights from brain imaging data analysis than standard machine learning approaches, according to a study published in Nature...
Artificial intelligence can analyze pre-operative MRI scans to predict patient outcomes following prostate cancer surgery, a study published in EBioMedicine.
A critical factor in managing prostate...
A deep learning model may be able to detect breast cancer one to two years earlier than standard clinical methods, according to a study published in Nature Medicine.
The tool also demonstrated...
Artificial intelligence algorithms designed to detect diabetic eye disease may not perform as well as developers claim, according to a study published in Diabetes Care.
Diabetes is the leading cause...
Medical imaging techniques helped researchers discover a brain biomarker that may increase a person’s risk of developing post-traumatic stress disorder (PTSD) after a traumatic brain injury,...
A microscope powered by deep learning technology can quickly image tissue sections, potentially during surgery, to help surgeons determine whether they’ve removed all cancer cells, according to a...
A machine learning algorithm can analyze medical images and predict which breast cancer patients need surgery, revealed a study published in the American Journal of Physiology – Cell...
A deep learning model can measure the volume of cerebral ventricles on pediatric brain scans, leading to improved treatment of a pathological condition called hydrocephalus, according to a study...
