Artificial Intelligence

More than 6.1 million children were diagnosed with ADHD in 2016. Despite these numbers, there is no single test or imaging exam that can confidently diagnose a patient.

The novel method uses a deep neural network to improve fluorescence lifetime imaging, which allowed scientists at Rensselaer Polytechnic Institute to view molecular-level interactions within cells.

A new AI algorithm developed by researchers at Case Western Reserve University can predict which malignant breast cancers will progress and benefit from additional treatment.

A team of researchers from Taiwan performed a first-of-its-kind external validation of four AI algorithms used to detect pulmonary nodules in chest x-rays, sharing their results in Clinical Radiology. The classifiers could help radiologists improve medical imaging care as a whole.

Engineers from Duke University have harnessed the power of machine learning to increase the resolution of optical coherence tomography (OCT) imaging, according to an Aug. 19 study published in Nature Photonics.

Canon Medical Systems USA has received FDA approval for its deep convolutional neural network (DCNN) image reconstruction technology for CT scanning.

The world market for digital pathology is expected to rise to $600 million by 2022, according to a new report from Signify Research. But it will have to overcome some strong obstacles first.

The new evidence-based clinical recommendations seek to help labs better use quantitative image analysis (QIA) in HER2 testing for breast cancer.

Follow-up recommendations in radiology reports commonly contain little standardization. Machine learning and deep learning methods are each effective for deciphering reports and may provide the foundation for real-time recommendation extraction, according to a recent study in the Journal of the American College of Radiology.

Artificial intelligence (AI) can generate high-quality amyloid PET images from simultaneously acquired MR images and ultra-low-dose PET data, according to a Dec. 11 study published in Radiology.

A decision support tool can help physicians better diagnose bladder cancer treatment response on CT, according to an Nov. 10 study published in Academic Radiology.

Deep learning can estimate full-dose PET images from scans with significantly lower dosages, according to a new study in the Journal of Digital Imaging. The method may make performing PET scans safer and more affordable.