Duke University researchers have created an artificial intelligence platform to analyze potentially cancerous lesions in mammography scans and determine whether patients should...
Case Western Reserve University researchers are using artificial intelligence to identify which patients with certain head and neck cancers would benefit from reducing the intensity of...
According to researchers, artificial intelligence could assist doctors in allocating resources during the COVID-19 pandemic by identifying patients who require intensive care unit (ICU) treatment.
A...
With the support of a three-year, $755,000 grant from the US Department of Defense’s Congressionally Directed Medical Research Programs, Case Western Reserve University researchers are testing...
New artificial intelligence technology for heart imaging could allow doctors to examine a patient’s heart for scar tissue while eliminating the need for contrast injections typically required in...
Scientists from the United States Department of Energy’s (DOE) Argonne National Laboratory are using deep learning and artificial intelligence strategies to upgrade the current Advanced Photon...
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...
Using predictive analytics and X-ray imaging data, an artificial intelligence computer program predicted which COVID-19 patients would develop life-threatening medical issues within four days with up...
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...
The University of Utah (the U) has partnered with ARUP Laboratories and Techcyte Inc. to develop NanoSpot.AI, a quick and simple COVID-19 antibody test fueled by artificial intelligence.
NanoSpot.AI...
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...
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...
In the US, the dawn of winter has meant a surge of COVID-19 infections. Daily rates of new infections have jumped significantly since March, and the country recently surpassed 17 million confirmed...
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...
