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...
Machine learning tools can analyze certain types of retinal images to identify Alzheimer’s disease in symptomatic individuals, according to a study published in the British Journal of...
As big data analytics technologies continue to move from research labs to clinical settings, organizations are increasingly leveraging these tools to design more comprehensive cancer...
A machine learning tool was able to detect COVID-19 in x-ray images about ten times faster and one to six percent more accurately than specialized thoracic radiologists, according to a study published...
Among the many possible applications of artificial intelligence and machine learning in healthcare, medical imaging is perhaps the most promising.
When used to decode the complicated nature of MRIs, CT scans, and other testing modalities,...
A machine learning algorithm accurately determined how well skin cancer patients would respond to tumor-suppressing drugs in four out of five cases, according to research conducted by a team from NYU...
Combining formal instruction with practical problem-solving for fourth-year residents could accelerate the use of artificial intelligence in radiology, according to a report published in Radiology:...
Mayo Clinic and Google Health have announced a partnership to develop artificial intelligence that can help accelerate the process of planning radiotherapy treatments, leading to more efficient cancer...
Applying a deep learning model to standard CT scans could generate higher-quality images, enabling providers to extract better insights and improve diagnosis, according to a study published in...
Combining a deep learning model with medical imaging techniques could help determine the best treatment options for patients with non-small cell lung cancer, according to a study published in Nature...
A team at the Perelman School of Medicine at the University of Pennsylvania will leverage artificial intelligence to find patterns in genetic, imaging, and clinical data from over 60,000...
A $3.2 million grant from NIH will support researchers in using artificial intelligence to improve outcomes for heart transplant patients.
Researchers from the Perelman School of Medicine at the...
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a machine learning tool that can detect the severity of excess fluid in patients’ lungs...
